• Aggarwal • Agrawal • Alexander • Alwan • Ananthakrishnan • Annavaram • Antoniou • Ardulov • Arevian • Arunachalam • Audhkhasi • Avramidis • Awada • Balasubramanian • Bangayan • Baruah • Baucom • Belvin • Benitez • Berkel • Black • Blaylock • Bone • Booth • Bose • Bresch • Bulut • Buntschuh • Burghardt • Busso • Byrd • C. • Cakmak • Can • Carta • Cassani • Cen • Chakravarthula • Chakravarthula} • Chang • Chaspari • Chatziagapi • Chen • Chiu • Chochlakis • Choudhary • Chu • Creed • Deng • Dhand • Dibazar • Durante • Dutton • Emken • Espy-Wilson • Ettelaie • Eyben • Fabbrizio • Farahani • Farantouri • Feng • Flemotomos • Foley • Frank • Gaballah • Ganapathy • Ganjavi • Georgiou • Gerosa • Ghosh • Gibson • Girault • Golazizian • Goldberg • Goyal • Greer • Grimm • Grunwald • Guha • Gupta • Gurunath • Hadjiantonis • Hagedorn • Han • Harper • Hebbar • Hirsch • Hosseinmardi • Hsieh • Huang • Imel • Israel • Jati • Jeong • Johnson • Jung • Justus • Kaat • Kadiri • Kalinli • Kamm • Kao • Kato • Katsamanis • Kazemzadeh • Kim • Knox • Kodali • Kommineni • Krishnamachari • Kumar • Kunc • Kuo • Kwon • L'Hommedieu • Lahiri • Lajonchere • Lammert • Laukkanen • Lee • Lertpetchpun • Levin • Li • Lim • Lin • Lingala • Liu • Lord • Lu • Luo • Lynn • Ma • Malandrakis • Martinez • Matsunaga • McDaniel • McErlean • McKernan • McMicken • Meesookho • Mehlman • Meireles • Melistas • Metallinou • Mitra • Molina • Montanari • Monteserin • Morbini • Moschopoulos • Mote • Mouchtaris • Mower • Mundnich • Murray • Nadarajan • Nam • Narayanan • Narayanswamy • Nashiro • Nasir • Nava • Nguyen • Oh • Pace • Pal • Palogiannidi • Papadopoulos • Parga • Park • Paromita • Parrell • Patil • Paz • Peri • Petrogianni • Petrosyan • Potamianos • Prakash • Pranjal • Prasad • Price • Proctor • Qin • Rahim • Ramakrishna • Ramanarayanan • Rangarajan • Rao • Ravuri • Riccardi • Richard • Roque • Rose • Rostami • Rozgic • Sapkota • Schuller • Sebastian • Sethy • Seyedrezaei • Sgouropoulos • Shah • Sharma • Sharon • Shen • Shi • Shield • Shih • Shin • Shivakumar • Shivakumar} • Siam • Silva • Singla • Sinha • Sivakumar • Skordilis • Smith • Soma • Somandapelli • Somandepalli • Sorensen • Spruijt-Metz • Sridhar • Srinivasamurthy • Stewart • Strangmann • Subramanyam • Suendermann • Sundaram • Swartout • Tadimari • Tan • Tavabi • Tepperman • Thatte • Thomas • Tian • Timmons • Tiwari • Toth • Toutios • Traum • Travadi • Tsaprazlis • Tseng • Tsiartas • Tsuzuki • Töger • Unal • Van • Vaz • Villalba • Walker • Walters • Wang • White • Woerd} • Wollmer • Wu • Wöllmer • Xezonaki • Xia • Xiao • Xu • Yan • Yang • Yau • Yildirim • Yoo • You • Zane • Zang • Zeljkovic • Zervanou • Zhang • Zhao • Zhu • Zu • Giannakopoulos •
Aggarwal
- Priti Aggarwal, Ron Artstein, Jillian Gerten, Athanasios Katsamanis, Shrikanth S. Narayanan, Angela Nazarian, and David Traum. The Twins corpus of museum visitor questions. In Proceedings of the LREC-2012, pp. 2355–2361, may 2012.
details pdf
Agrawal
- Taruna Agrawal, Rahul Gupta, and Shrikanth Narayanan. Multimodal Detection of Fake Social Media Use Through a Fusion of Classification and Pairwise Ranking Systems. In Proceedings of EUSIPCO, August 2017.
details pdf - Taruna Agrawal, Rahul Gupta, and Shrikanth Narayanan. On Evaluating CNN representations for Low resource medical image classification. In Proceedings of ICASSP, May 2019.
details
Alexander
- Rachel Alexander, Tanner Sorensen, Asterios Toutios, and Shrikanth Narayanan. A modular architecture for articulatory synthesis from gestural specification. J. Acoust. Soc. Am., 146(6):4458–4471, dec 2019.
details doi pdf - Rachel Alexander, Tanner Sorensen, Asterios Toutios, and Shrikanth Narayanan. VCV Synthesis using Task Dynamics to Animate a Factor-based Articulatory Model. In Proceedings of Interspeech, August 2017.
details
Alwan
- Abeer Alwan, Shrikanth S. Narayanan, and Katherine Haker. Toward articulatory-acoustic models for liquid consonants based on MRI and EPG data. Part II: The rhotics. Journal of the Acoustical Society of America, 101(2):1078–1089, feb 1997.
details doi pdf - Abeer Alwan, Shrikanth S. Narayanan, B. Strope, and A. Shen. Speech production and perception models and their applications to synthesis, recognition, and coding. In Chollet, DiBenedetto, Esposito, and Marinaro, editors, Speech Processing, Recognition, and Artificial Neural Networks, pp. 138–161, Springer-Verlag, London, mar 1999.
details doi pdf - Abeer Alwan, Shrikanth S. Narayanan, B. Strope, and A. Shen. Speech production and perception models and their applications to synthesis, recognition, and coding. In Proceedings of the International Symposium on Signals, Systems, and Electronics (ISSSE), pp. 367–372, Monterey, CA, oct 1995.
details doi pdf - Abeer Alwan, Yijian Bai, Matthew P. Black, Larry Caseyz, Matteo Gerosa, Margaret Heritage, Markus Iseli, Barbara Jones, Abe Kazemzadeh, Sungbok Lee, Shrikanth S. Narayanan, Patti Price, Joseph Tepperman, and Shizhen Wang. A system for technology based assessment of language and literacy in young children: The role of multiple information sources. In Proceedings of the IEEE International Workshop on Multimedia Signal Processing (MMSP), pp. 26–30, Chania, Greece, oct 2007.
details doi pdf
Ananthakrishnan
- Sankaranarayanan Ananthakrishnan and Shrikanth S. Narayanan. Automatic prosodic event detection using acoustic, lexical, and syntactic evidence. IEEE Transactions on Audio, Speech, and Language Processing, 16(1):216–228, jan 2008.
details doi pdf - Sankaranarayanan Ananthakrishnan and Shrikanth S. Narayanan. Unsupervised adaptation of categorical prosody models for prosody labeling and speech recognition. IEEE Transactions on Audio, Speech, and Language Processing, 17(1):138–149, jan 2009.
details doi pdf - Sankaranarayanan Ananthakrishnan, Srinivas Bangalore, and Shrikanth S. Narayanan. Automatic diacritization of Arabic transcripts for automatic speech recognition. In Proceedings of the International Conference on Natural Language Processing (ICON), pp. 47–54, Kanpur, India, December 2005.
details pdf - Sankaranarayanan Ananthakrishnan and Shrikanth S. Narayanan. Combining Acoustic, Lexical, and Syntactic Evidence for Automatic Unsupervised Prosody Labeling. In Proceedings of InterSpeech, pp. 297–300, Pittsburgh, PA, September 2006.
details pdf - Sankaranarayanan Ananthakrishnan, Prasanta Kumar Ghosh, and Shrikanth S. Narayanan. Automatic classification of question turns in spontaneous speech using lexical and prosodic evidence. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 5005–5008, Las Vegas, Nevada, apr 2008.
details doi pdf - Sankaranarayanan Ananthakrishnan and Shrikanth S. Narayanan. Data-driven unsupervised adaptation of acoustic-prosodic models. In Proceedings of the Speech Prosody Conference, pp. 161–164, Campinas, Brazil, may 2008.
details pdf - Sankaranarayanan Ananthakrishnan and Shrikanth S. Narayanan. Improved Speech Recognition Using Acoustic and Lexical Correlates of Pitch Accent in a N-best Rescoring Framework. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 873–876, 4, Honolulu, Hawaii, April 2007.
details doi pdf - Sankaranarayanan Ananthakrishnan and Shrikanth S. Narayanan. Fine-grained Pitch Accent and Boundary Tone Labeling with Parametric F0 Features. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 4545–4548, Las Vegas, Nevada, April 2008.
details doi pdf - Sankaranarayanan Ananthakrishnan and Shrikanth S. Narayanan. A novel algorithm for unsupervised prosodic language model adaptation. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 4181–4184, Las Vegas, Nevada, apr 2008.
details doi pdf - Sankaranarayanan Ananthakrishnan and Shrikanth S. Narayanan. Prosody-enriched lattices for improved syllable recognition. In Proceedings of InterSpeech, pp. 1813–1816, Antwerp, Belgium, aug 2007.
details pdf - Sankaranarayanan Ananthakrishnan and Shrikanth S. Narayanan. An automatic prosody recognizer using a coupled multi-stream acoustic model and a syntactic-prosodic language model. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 269–272 [Best Student Paper Award], Philadelphia, PA, mar 2005.
details doi pdf
Annavaram
- Murali Annavaram, Nenad Medvidovic, Urbashi Mitra, Shrikanth S. Narayanan, Gaurav Sukhatme, Zhaoshi Meng, Shi Qiu, Rohit Kumar, Gautam Thatte, and Donna Spruijt-Metz. Multimodal Sensing for Pediatric Obesity Applications. In Proceedings of the International Workshop on Urban, Community, and Social Applications of Networked Sensing Systems (UrbanSense), pp. 21–25, November 2008.
details pdf
Antoniou
- Nikolaos Antoniou, Athanasios Katsamanis, Theodoros Giannakopoulos, and Shrikanth Narayanan. Designing and Evaluating Speech Emotion Recognition Systems: A reality check case study with IEMOCAP. In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1–5, , 2023.
details doi pdf
Ardulov
- Victor Ardulov and Shrikanth Narayanan. Navigating and Reaching Therapeutic Goals with Dynamical Systems in Conversation-based Interventions. In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1–5, , 2023.
details doi pdf - Victor Ardulov, Victor R Martinez, Krishna Somandepalli, Shuting Zheng, Emma Salzman, Catherine Lord, Somer Bishop, and Shrikanth Narayanan. Robust diagnostic classification via Q-learning. Scientific reports, 11(1):1–9, Nature Publishing Group, 2021.
details doi pdf - Victor Ardulov, Madelyn Mendlen, Manoj Kumar, Neha Anand, Shanna Williams, Thomas Lyon, and Shrikanth Narayanan. Multimodal Interaction Modeling of Child Forensic Interviewing. In In proceedings of International Conference on Multimodal Interaction, October 2018.
details doi pdf - Victor Ardulov, Zane Durante, Shana Williams, Thomas Lyon, and Shrikanth Narayanan. Identifying Truthful Language in Child Interviews. In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 8074–8078, , May 2020.
details doi pdf
Arevian
- Armen C Arevian, Doug Bell, Mark Kretzman, Connie Kasari, Shrikanth Narayanan, Carl Kesselman, Shinyi Wu, Paul Di Capua, William Hsu, Mathew Keener, and others. Participatory methods to support team science development for predictive analytics in health. Journal of Clinical and Translational Science, 2(3):178–182, August 2018.
details doi pdf - Armen Arevian, Daniel Bone, Nikolaos Malandrakis, Victor Martinez, Kenneth Wells, David Miklowitz, and Shrikanth Narayanan. Clinical state tracking in serious mental illness through computational analysis of speech. PLoS ONE, 15(1):e0225695, January 2020.
details doi pdf
Arunachalam
- Sudha Arunachalam, Dylan Gould, Elaine Andersen, Dani Byrd, and Shrikanth S. Narayanan. Politeness and frustration language in child-machine interactions. In Proceedings of InterSpeech, pp. 2675–2678, Aalborg, Denmark, sep 2001.
details pdf
Audhkhasi
- Kartik Audhkhasi, Panayiotis Georgiou, and Shrikanth S. Narayanan. Lattice-based lexical cues for word fragment detection in conversational speech. In Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), Merano, Italy, dec 2009.
details doi pdf - Kartik Audhkhasi and Shrikanth S. Narayanan. Data-dependent evaluator modeling and its application to emotional valence classification from speech. In Proceedings of InterSpeech, Makuhari, Japan, sep 2010.
details pdf - Kartik Audhkhasi, Panayiotis Georgiou, and Shrikanth S. Narayanan. Reliability-Weighted Acoustic Model Adaptation Using Crowd Sourced Transcriptions. In Proceedings of Interspeech, Florence, Italy, aug 2011.
details doi pdf - Kartik Audhkhasi, Panayiotis Georgiou, and Shrikanth S. Narayanan. Accurate Transcription Of Broadcast News Speech Using Multiple Noisy Transcribers And Unsupervised Reliability Metrics. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), may 2011.
details doi pdf - Kartik Audhkhasi and Shrikanth S. Narayanan. Emotion Classification From Speech Using Evaluator Reliability-Weighted Combination Of Ranked Lists. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), pp. 4956–4959, may 2011.
details doi pdf - Kartik Audhkhasi, Panayiotis Georgiou, and Shrikanth S. Narayanan. Analyzing Quality of Crowd-Sourced Speech Transcriptions of Noisy Audio for Acoustic Model Adaptation. In Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP), March 2012.
details doi pdf - Kartik Audhkhasi, Abhinav Sethy, Bhuvana Ramabhadran, and Shrikanth S. Narayanan. Creating Ensemble of Diverse Maximum Entropy Models. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), pp. 4845–4848, mar 2012.
details doi pdf - Kartik Audhkhasi, Angeliki Metallinou, Ming Li, and Shrikanth S. Narayanan. Speaker Personality Classification Using Systems Based on Acoustic-Lexical Cues and an Optimal Tree-Structured Bayesian Network. In Proceedings of InterSpeech, sep 2012.
details pdf - Kartik Audhkhasi and Shrikanth S. Narayanan. A Globally-Variant Locally-Constant Model for Fusion of Labels from Multiple Diverse Experts Without Using Reference Labels. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(4):769–783, apr 2013.
details doi pdf - Kartik Audhkhasi, Andreas Zavou, Panayiotis Georgiou, and Shrikanth S. Narayanan. Empirical link between hypothesis diversity and fusion performance in an ensemble of automatic speech recognition systems. In Proceedings of InterSpeech, aug 2013.
details pdf - Kartik Audhkhasi, Abhinav Sethy, Bhuvana Ramabhadran, and Shrikanth Narayanan. Semi-supervised term-weighted value rescoring for keyword search. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), may 2014.
details doi pdf - Kartik Audhkhasi, Andreas Zavou, Panayiotis Georgiou, and Shrikanth S. Narayanan. Theoretical Analysis of Diversity in an Ensemble of Automatic Speech Recognition Systems. IEEE/ACM Transactions on Audio, Speech and Language Processing, 22(3), 2014.
details doi pdf
Avramidis
- Kleanthis Avramidis, Myzelle Hughes, Idan A Blank, Dani Byrd, Assal Habibi, Takfarinas Medani, Richard M Leahy, and Shrikanth Narayanan. A Point Process Model of Skin Conductance Responses in a Stroop Task for Predicting Depression and Suicidal Ideation. In ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 7492–7496, , May 2026.
details doi HTML - Kleanthis Avramidis, Woojae Jeong, Aditya Kommineni, Sudarsana R Kadiri, Marcus Ma, Colin McDaniel, Myzelle Hughes, Thomas McGee, Elsi Kaiser, Dani Byrd, Assal Habibi, B Rael Cahn, Idan A Blank, Kristina Lerman, Takfarinas Medani, Richard M Leahy, and Shrikanth Narayanan. Deep learning characterizes depression and suicidal ideation in young adults from eye movements. npj Digital Medicine, Nature Publishing Group UK London, March 2026.
details doi HTML - Kleanthis Avramidis, Melinda Y Chang, Rahul Sharma, Mark S Borchert, and Shrikanth Narayanan. Evaluating Atypical Gaze Patterns through Vision Models: The Case of Cortical Visual Impairment. In Proceedings of the 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2024.
details pdf - Kleanthis Avramidis, Dominika Kunc, Bartosz Perz, Kranti Adsul, Tiantian Feng, Przemyslaw Kazienko, Stanislaw Saganowski, and Shrikanth Narayanan. Scaling representation learning from ubiquitous ECG with state-space models. IEEE Journal of Biomedical and Health Informatics, 28(10):5877–5888, IEEE, 2024.
details doi HTML - Kleanthis Avramidis, Shanti Stewart, and Shrikanth Narayanan. On the Role of Visual Context in Enriching Music Representations. In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1–5, , 2023.
details doi pdf - Kleanthis Avramidis, Kranti Adsul, Digbalay Bose, and Shrikanth Narayanan. Signal Processing Grand Challenge 2023 – E-Prevention: Sleep Behavior as an Indicator of Relapses in Psychotic Patients. In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1–2, , 2023.
details doi pdf - Kleanthis Avramidis, Tiantian Feng, Digbalay Bose, and Shrikanth Narayanan. Multimodal Estimation of Change Points of Physiological Arousal in Drivers. In Ambient AI Workshop: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1–5, , 2023.
details pdf - Kleanthis Avramidis, Mohammad Rostami, Melinda Chang, and Shrikanth Narayanan. Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning. In 2022 IEEE International Conference on Image Processing (ICIP), pp. 3973–3977, 2022.
details doi pdf
Awada
- Mohamad Awada, Burcin Becerik-Gerber, Ruying Liu, Mirmahdi Seyedrezaei, Zheng Lu, Matheos Xenakis, Gale Lucas, Shawn C. Roll, and Shrikanth Narayanan. Ten questions concerning the impact of environmental stress on office workers. Building and Environment, 229:109964, 2023.
details doi pdf
Balasubramanian
- Ramasubramanian Balasubramanian, Theodora Chaspari, and Shrikanth S. Narayanan. A Knowledge-driven Framework for ECG Representation and Interpretation for Wearable Applications. In Proceedings of the IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), March 2017.
details doi pdf
Bangayan
- Philbert Bangayan, Abeer Alwan, and Shrikanth S. Narayanan. From MRI and acoustic data to articulatory synthesis: A case study of the lateral approximants in American English. In Proceedings of InterSpeech, pp. 793–796, 2, Philadelphia, PA, sep 1996.
details doi pdf
Baruah
- Sabyasachee Baruah and Shrikanth Narayanan. CHATTER: A Character Attribution Dataset for Narrative Understanding. In Proceedings of the 7th Narrative Understanding Worlkshop at the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025.
details - Sabyasachee Baruah and Shrikanth Narayanan. Character Attribute Extraction from Movie Scripts Using LLMs. In ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 8270–8275, , April 2024.
details doi pdf - Sabyasachee Baruah and Shrikanth Narayanan. Character Coreference Resolution in Movie Screenplays. In Findings of the Association for Computational Linguistics: ACL 2023, pp. 10300–10313, Association for Computational Linguistics, Toronto, Canada, July 2023.
details pdf - Sabyasachee Baruah, Krishna Somandepalli, and Shrikanth S. Narayanan. Representation of professions in entertainment media: Insights into frequency and sentiment trends through computational text analysis. PLoS ONE, 17(5):1–37, Public Library of Science, 05 2022.
details doi pdf - Sabyasachee Baruah, Sandeep Nallan Chakravarthula, and Shrikanth Narayanan. Annotation and Evaluation of Coreference Resolution in Screenplays. In Proceedings of the Association for Computational Linguistics (ACL), pp. 2004–2010, Association for Computational Linguistics, 2021.
details doi - Sabyasachee Baruah, Rahul Gupta, and Shrikanth S. Narayanan. A KNOWLEDGE TRANSFER AND BOOSTING APPROACH TO THE PREDICTION OF AFFECT IN MOVIES. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), mar 2017.
details doi pdf
Baucom
- Brian Baucom, Elisa Sheng, Andrew Christensen, Panayiotis Georgiou, Shrikanth S. Narayanan, and David Atkins. Behaviorally-based couple therapies reduce emotional arousal during couple conflict. Behaviour Research and Therapy, pp. 49–55, sep 2015.
details doi pdf - Brian RW Baucom, Panayiotis Georgiou, Craig J Bryan, Eric L Garland, Feea Leifker, Alexis May, Alexander Wong, and Shrikanth S Narayanan. The promise and the challenge of technology-facilitated methods for assessing behavioral and cognitive markers of risk for suicide among US Army National Guard personnel. International journal of environmental research and public health, 14(4):361, Multidisciplinary Digital Publishing Institute, 2017.
details doi pdf
Belvin
- Robert Belvin, Win May, Shrikanth S. Narayanan, Panayiotis Georgiou, and Shadi Ganjavi. Creation of a doctor-patient dialogue corpus using standardized patients. In Proceedings of the International Conference on Language Resources and Evaluation (LREC), Lisbon, Portugal, may 2004.
details pdf - Robert Belvin, Emil Ettelaie, Sudeep Gandhe, Panayiotis Georgiou, Kevin Knight, Daniel Marcu, Shrikanth S. Narayanan, and David Traum. Transonics: A Practical Speech-to-Speech Translator for English-Farsi Medical Dialogues. In Proceedings of the International Committee on Computational Linguistics and the Association for Computational Linguistics (COLING/ACL), pp. 89–92, June 2005.
details pdf
Benitez
- Andres Benitez, Vikram Ramanarayanan, Louis Goldstein, and Shrikanth Narayanan. A Real-Time MRI Study of Articulatory Setting in Second Language Speech. In Proceedings of Interspeech, sep 2014.
details doi pdf
Berkel
- Cady Berkel, Dillon C Knox, Nikolaos Flemotomos, Victor R Martinez, David C Atkins, Shrikanth S Narayanan, Lizeth Alonso Rodriguez, Carlos G Gallo, and Justin D Smith. A machine learning approach to improve implementation monitoring of family-based preventive interventions in primary care. Implementation Research and Practice, 4:26334895231187906, SAGE Publications Sage UK: London, England, 2023.
details doi pdf
Black
- Matthew P. Black, Joseph Tepperman, Sungbok Lee, and Shrikanth S. Narayanan. Predicting children’s reading ability using evaluator-informed features. In Proceedings of InterSpeech, Brighton, UK, sep 2009.
details pdf - Matthew P. Black, Jeannette Chang, Jonathan Chang, and Shrikanth S. Narayanan. Comparison of child-human and child-computer interactions based on manual annotations. In Proceedings of the Workshop on Child, Computer and Interaction, Cambridge, MA, nov 2009.
details doi pdf - Matthew P. Black, Athanasios Katsamanis, Chi-Chun Lee, Adam Lammert, Brian Baucom, Andrew Christensen, Panayiotis Georgiou, and Shrikanth S. Narayanan. Automatic Classification of Married Couples' Behavior using Audio Features. In Proceedings of InterSpeech, pp. 2030–2033, sep 2010.
details pdf - Matthew P. Black, Abe Kazemzadeh, Joseph Tepperman, and Shrikanth S. Narayanan. Automatically Assessing the ABCs: Verification of Children's Spoken Letter-names and Letter-sounds. ACM Transactions on Speech and Language Processing, 7(4):15:1 – 15:17, August 2011.
details doi pdf - Matthew P. Black, Joseph Tepperman, and Shrikanth S. Narayanan. Automatic Prediction of Children's Reading Ability for High-level Literacy Assessment. IEEE Transactions on Audio, Speech and Language Processing, 19(4):1015 – 1028, 2011.
details doi pdf - Matthew P. Black, Daniel Bone, Marian E. Williams, Phillip Gorrindo, Pat Levitt, and Shrikanth S. Narayanan. The USC CARE Corpus: Child-Psychologist Interactions of Children with Autism Spectrum Disorders. In Proceedings of Interspeech, Florence, Italy, aug 2011.
details pdf - Matthew P. Black and Shrikanth S. Narayanan. Improvements in predicting children's overall reading ability by modeling variability in evaluators subjective judgments. In Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP), mar 2012.
details doi pdf - Matthew P. Black, Athanasios Katsamanis, Brian Baucom, Chi-Chun Lee, Adam Lammert, Andrew Christensen, Panayiotis Georgiou, and Shrikanth S. Narayanan. Toward automating a human behavioral coding system for married couples' interactions using speech acoustic features. Speech Communication, 55(1):1–21, jan 2013.
details doi pdf - Matthew P. Black, Daniel Bone, Zisis Skordilis, Rahul Gupta, Wei Xia, Pavlos Papadopoulos, Sandeep Nallan Chakravarthula, Bo Xiao, Maarten Van Segbroeck, Jangwon Kim, Panayiotis Georgiou, and Shrikanth S. Narayanan. Automated Evaluation of Non-Native English Pronunciation Quality: Combining Knowledge- and Data-Driven Features. In Proceedings of Interspeech, sep 2015.
details pdf - Matthew P. Black, Panayiotis Georgiou, Athanasios Katsamanis, Brian Baucom, and Shrikanth S. Narayanan. "You made me do it": Classification of Blame in Married Couples' Interaction by Fusing Automatically Derived Speech and Language Information. In Proceedings of Interspeech, Florence, Italy, aug 2011.
details pdf - Matthew P. Black, Joseph Tepperman, Abe Kazemzadeh, Sungbok Lee, and Shrikanth S. Narayanan. Automatic pronunciation verification of English letter-names for early literacy assessment of preliterate children. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Taipei, Taiwan, apr 2009.
details doi pdf - Matthew P. Black, Joseph Tepperman, Sungbok Lee, and Shrikanth S. Narayanan. Estimation of Children's Reading Ability by Fusion of Automatic Pronunciation Verification and Fluency Detection. In Proceedings of InterSpeech, pp. 2779–2782, Brisbane, Australia, September 2008.
details pdf - Matthew P. Black, Joseph Tepperman, Abe Kazemzadeh, Sungbok Lee, and Shrikanth S. Narayanan. Pronunciation verification of English letter-sounds in preliterate children. In Proceedings of InterSpeech, pp. 2783–2786, Brisbane, Australia, sep 2008.
details doi pdf - Matthew P. Black, Jeannette Chang, and Shrikanth S. Narayanan. An empirical analysis of user uncertainty in problem-solving child-machine interactions. In Proceedings of the Workshop on Child, Computer and Interaction, Chania, Greece, oct 2008.
details pdf - Matthew P. Black, Joseph Tepperman, Sungbok Lee, Patti Price, and Shrikanth S. Narayanan. Automatic detection and classification of disfluent reading miscues in young children's speech for the purpose of assessment. In Proceedings of InterSpeech, pp. 206–209, Antwerp, Belgium, aug 2007.
details pdf
Blaylock
- Reed Blaylock and Shrikanth Narayanan. Beatboxing Kick Drum Kinematics. In Proc. INTERSPEECH 2023, pp. 2583–2587, 2023.
details doi pdf - Reed Blaylock, Louis Goldstein, and Shrikanth S. Narayanan. Velum Control for Oral Sounds. In Proceedings of Interspeech, 2016.
details doi pdf - Reed Blaylock, Nimisha Patil, Timothy Greer, and Shrikanth Narayanan. Sounds of the Human Vocal Tract. In Proceedings of Interspeech, August 2017.
details pdf
Bone
- Daniel Bone, Samuel Kim, Sungbok Lee, and Shrikanth S. Narayanan. A Study of Intra-Speaker and Inter-Speaker Affective Variability using Electroglottograph and Inverse Filtered Glottal Waveforms. In Proceedings of InterSpeech, Makuhari, Japan, sep 2010.
details pdf - Daniel Bone, Matthew P. Black, Ming Li, Angeliki Metallinou, Sungbok Lee, and Shrikanth S. Narayanan. Intoxicated Speech Detection by Fusion of Speaker Normalized Hierarchical Features and GMM Supervectors. In Proceedings of Interspeech, pp. 3217–3220. [2011 InterSpeech Speaker State Challenge Award Winner], August 2011.
details doi pdf - Daniel Bone, Chi-Chun Lee, and Shrikanth S. Narayanan. A Robust Unsupervised Arousal Rating Framework using Prosody with Cross-Corpora Evaluation. In Proceedings of InterSpeech, pp. 1175–1178, September 2012.
details pdf - Daniel Bone, Matthew P. Black, Chi-Chun Lee, Marian E. Williams, Pat Levitt, Sungbok Lee, and Shrikanth S. Narayanan. Spontaneous-Speech Acoustic-Prosodic Features of Children with Autism and the Interacting Psychologist. In Proceedings of InterSpeech, pp. 1043–1046, September 2012.
details pdf - Daniel Bone, Chi-Chun Lee, Theodora Chaspari, Matthew P. Black, Marian Williams, Sungbok Lee, Pat Levitt, and Shrikanth S. Narayanan. Acoustic-Prosodic, Turn-taking, and Language Cues in Child-Psychologist Interactions for Varying Social Demand. In Proceedings of InterSpeech, pp. 2400–2404, August 2013.
details doi pdf - Daniel Bone, Chi-Chun Lee, Vikram Ramanarayanan, Shrikanth S. Narayanan, Renske S. Hoedemaker, and Peter C. Gordon. Analyzing Eye-Voice Coordination in Rapid Automatized Naming. In Proceedings of InterSpeech, pp. 2425–2429, August 2013.
details doi pdf - Daniel Bone, Theodora Chaspari, Kartik Audhkhasi, James Gibson, Andreas Tsiartas, Maarten Van Segbroeck, Ming Li, Sungbok Lee, and Shrikanth S. Narayanan. Classifying Language-Related Developmental Disorders from Speech Cues: the Promise and the Potential Confounds. In Proceedings of InterSpeech, aug 2013.
details pdf - Daniel Bone, Chi-Chun Lee, Alexandros Potamianos, and Shrikanth Narayanan. An Investigation of Vocal Arousal Dynamics in Child-Psychologist Interactions using Synchrony Measures and a Conversation-based Model. In Proceedings of Interspeech, sep 2014.
details pdf - Daniel Bone, Ming Li, Matthew P. Black, and Shrikanth S. Narayanan. Intoxicated Speech Detection: A Fusion Framework with Speaker-Normalized Hierarchical Functionals and GMM Supervectors. Computer, Speech, and Language, 28(2):375–391, March 2014.
details doi pdf - Daniel Bone, Chi-Chun Lee, and Shrikanth S. Narayanan. Robust Unsupervised Arousal Rating: A rule-based framework with knowledge-inspired vocal features. IEEE Transactions on Affective Computing, 5(1):201–213, apr 2014.
details doi pdf - Daniel Bone, Matthew P. Black, Chi-Chun Lee, Marian Williams, Pat Levitt, Sungbok Lee, and Shrikanth S. Narayanan. The Psychologist as an Interlocutor in Autism Spectrum Disorder Assessment: Insights from a Study of Spontaneous Prosody. Journal of Speech, Language, and Hearing Research, 57:1162–1177, aug 2014.
details doi pdf - Daniel Bone, Matthew P. Black, Anil Ramakrishna, Ruth Grossman, and Shrikanth S. Narayanan. Acoustic-Prosodic Correlates of ‘Awkward’ Prosody in Story Retellings from Adolescents with Autism. In Proceedings of Interspeech, sep 2015.
details doi pdf - Daniel Bone, Matthew Goodwin, Matthew P. Black, Chi-Chun Lee, Kartik Audhkhasi, and Shrikanth S. Narayanan. Applying Machine Learning to Facilitate Autism Diagnostics: Pitfalls and promises. Journal of Autism and Developmental Disorders, 45(5):1121–1136, 2015.
details doi pdf - Daniel Bone, Somer Bishop, Rahul Gupta, Sungbok Lee, and Shrikanth S. Narayanan. Acoustic-Prosodic and Turn-Taking Features in Interactions with Children with Neurodevelopmental Disorders. In Proceedings of Interspeech, pp. 1185–1189, sep 2016.
details doi pdf - Daniel Bone, Somer Bishop, Matthew P. Black, Matthew Goodwin, Catherine Lord, and Shrikanth S. Narayanan. Use of Machine Learning to Improve Autism Screening and Diagnostic Instruments: Effectiveness, Efficiency, and Multi-Instrument Fusion. The Journal of Child Psychology and Psychiatry, 57(8):927–937, aug 2016.
details doi pdf - Daniel Bone, Julia Mertens, Emily Zane, Sungbok Lee, Shrikanth Narayanan, and Ruth Grossman. Acoustic-Prosodic and Physiological Response to Stressful Interactions in Children with Autism Spectrum Disorder. In Proceedings of Interspeech, August 2017.
details - Daniel Bone, Theodora Chaspari, and Shrikanth Narayanan. Behavioral signal processing and autism: Learning from multimodal behavioral signals. Autism Imaging and Devices, pp. 335–360, CRC Press, 2017.
details pdf - Daniel Bone, Chi-Chun Lee, Theodora Chaspari, James Gibson, and Shrikanth Narayanan. Signal Processing and Machine Learning for Mental Health Research and Clinical Applications. IEEE Signal Processing Magazine, 34(5):189–196, September 2017.
details pdf
Booth
- Brandon M Booth and Shrikanth S Narayanan. People make mistakes: Obtaining accurate ground truth from continuous annotations of subjective constructs. Behavior Research Methods, 56(8):8784–8800, Springer, 2024.
details pdf - Brandon M. Booth, Rahul Gupta, Pavlos Papadopoulos, Ruchir Travadi, and Shrikanth S. Narayanan. Automatic Estimation of Perceived Sincerity from Spoken Language. In Proceedings of Interspeech, pp. 2021–2025, 2016.
details doi pdf - Brandon M. Booth, Asem Ali, Ian Bennett, and Shrikanth Narayanan. Toward Active and Unobtrusive Engagement Assessment of Distance Learners. In Proceedings of Seventh International Conference on Affective Computing and Intelligent Interaction, October 2017.
details - Brandon Booth, Karel Mundnich, and Shrikanth Narayanan. A Novel Method for Human Bias Correction of Continuous- Time Annotations. In In proceedings of ICASSP, April 2018.
details doi pdf - Brandon M Booth, Karel Mundnich, and Shrikanth Narayanan. Fusing Annotations with Majority Vote Triplet Embeddings. In In proceedings of Audio/Visual Emotion Challenge and Workshop A, October 2018.
details doi pdf - Brandon M Booth, Karel Mundnich, Tiantian Feng, Amrutha Nadarajan, Tiago H Falk, Jennifer L Villatte, Emilio Ferrara, and Shrikanth Narayanan. Multimodal Human and Environmental Sensing for Longitudinal Behavioral Studies in Naturalistic Settings: Framework for Sensor Selection, Deployment, and Management. J Med Internet Res (JMIR), 21(8):e12832, 2019.
details pdf - Brandon Booth, Tiantian Feng, Abhishek Jangalwa, and Shrikanth Narayanan. Toward Robust Interpretable Human Movement Pattern Analysis in a Workplace Setting. In Proceedings of ICASSP, May 2019.
details - Brandon Booth and Shrikanth Narayanan. Trapezoidal Segmented Regression: A Novel Continuous-scale Real-time Annotation Approximation Algorithm. In In proceedings of Proceedings of the 8th International Conference on Affective Computing & Intelligent Interaction, September 2019.
details - Brandon Booth and Shrikanth Narayanan. Fifty Shades of Green: Towards a RobustMeasure of Inter-annotator Agreement for Continuous Signals. In In proceedings of ICMI, October 2020.
details pdf - Brandon Booth and Shrikanth Narayanan. Trapezoidal Segment Sequencing: A Novel Approach for Fusion of Human-produced Continuous Annotations. In Proceedings of ICASSP, May 2020.
details doi pdf
Bose
- Digbalay Bose, Rajat Hebbar, Tiantian Feng, Krishna Somandepalli, Anfeng Xu, and Shrikanth Narayanan. MM-AU:Towards Multimodal Understanding of Advertisement Videos. In Proceedings of the 31st ACM International Conference on Multimedia, pp. 86–95, MM 23, Association for Computing Machinery, New York, NY, USA, 2023.
details doi pdf - Digbalay Bose, Rajat and Hebbar, Krishna Somandepalli, and Shrikanth Narayanan. Contextually Rich Human Affect Perception using Multimodal Scene Perception. In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1–5, , 2023.
details doi pdf - Digbalay Bose, Rajat Hebbar, Krishna Somandepalli, Haoyang Zhang, Yin Cui, Kree Cole-McLaughlin, Huisheng Wang, and Shrikanth Narayanan. MovieCLIP: Visual Scene Recognition in Movies. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp. 2083–2092, 2023.
details pdf - Digbalay Bose, Krishna Somandepalli, Tymon Tai, Courtney Voelker, Shrikanth Narayanan, and Amit Kochhar. Automatic Analysis of Asymmetry in Facial Paralysis Patients Using Landmark-Based Measures. Facial Plastic Surgery & Aesthetic Medicine, 0(0):null, 2022. PMID: 35271372
details doi pdf
Bresch
- Erik Bresch, Jon Nielsen, Krishna S. Nayak, and Shrikanth S. Narayanan. Synchronized and noise-robust audio recordings during realtime magnetic resonance imaging scans. Journal of the Acoustical Society of America, 120(4):1791–1794, oct 2006.
details doi pdf - Erik Bresch, Yoon-Chul Kim, Krishna S. Nayak, Dani Byrd, and Shrikanth S. Narayanan. Seeing speech: Capturing vocal tract shaping using real-time magnetic resonance imaging. IEEE Signal Processing Magazine, 25(3):123–132, may 2008.
details doi pdf - Erik Bresch and Shrikanth S. Narayanan. Region segmentation in the frequency domain applied to upper airway real-time magnetic resonance images. IEEE Transactions on Medical Imaging, 28(3):323–338, mar 2009.
details doi pdf - Erik Bresch and Shrikanth S. Narayanan. Real-time MRI investigation of resonance tuning in soprano singing. J. Acoust. Soc. Am. Express Letters, 128(5):EL335–EL341, 2010.
details doi pdf - Erik Bresch, Athanasios Katsamanis, Louis Goldstein, and Shrikanth S. Narayanan. Statistical multi-stream modeling of real-time MRI articulatoryspeech data. In Proceedings of InterSpeech, Makuhari, Japan, sep 2010.
details pdf - Erik Bresch, Jason Adams, Arthur Pouzet, Sungbok Lee, Dani Byrd, and Shrikanth S. Narayanan. Semi-automatic processing of real-time MR image sequences for speech production studies. In Proceedings of the International Seminar on Speech Production (ISSP), pp. 427–434, Ubatuba, Brazil, dec 2006.
details pdf - Erik Bresch, Daylen Riggs, Louis Goldstein, Dani Byrd, Sungbok Lee, and Shrikanth S. Narayanan. An analysis of vocal tract shaping in English sibilant fricatives using real-time magnetic resonance imaging. In Proceedings of InterSpeech, pp. 2823–2826, Brisbane, Australia, sep 2008.
details pdf
Bulut
- Murtaza Bulut and Shrikanth S. Narayanan. Speech Synthesis Systems in Ambient Intelligence Environments. In Hamid Aghajan, Juan Carlos Augusto, and Ramón López-Cózar Delgado, editors, Human-centric interfaces for ambient intelligence, pp. 255–277, Elsevier, 2009.
details - Murtaza Bulut, Shrikanth S. Narayanan, and Lewis Johnson. Synthesizing expressive speech: Overview, challenges and open questions. In Shrikanth S. Narayanan and Abeer Alwan, editors, Text to speech synthesis: New paradigms and advances, Prentice Hall, 2004.
details - Murtaza Bulut and Shrikanth S. Narayanan. On the robustness of overall F0-only modifications to the perception of emotions in speech. Journal of the Acoustical Society of America, 123(6):4547–4558, jun 2008.
details doi pdf - Murtaza Bulut, Carlos Busso, Serdar Yildirim, Abe Kazemzadeh, Chul Min Lee, Sungbok Lee, and Shrikanth S. Narayanan. Investigating the role of phoneme-level modifications in emotional speech resynthesis. In Proceedings of InterSpeech, pp. 801–804, Lisbon, Portugal, oct 2005.
details pdf - Murtaza Bulut, Shrikanth S. Narayanan, and Ann Syrdal. Expressive speech synthesis using a concatenative synthesizer. In Proceedings of InterSpeech, pp. 1265–1268, Denver, CO, sep 2002.
details pdf - Murtaza Bulut, Sungbok Lee, and Shrikanth S. Narayanan. A statistical approach for modeling prosody features using POS tags for emotional speech synthesis. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 1237–1240, Honolulu, Hawaii, apr 2007.
details doi pdf - Murtaza Bulut, Sungbok Lee, and Shrikanth S. Narayanan. Analysis of emotional speech prosody in terms of part of speech tags. In Proceedings of InterSpeech, pp. 626–629, Antwerp, Belgium, aug 2007.
details pdf - Murtaza Bulut, Sungbok Lee, and Shrikanth S. Narayanan. Recognition for synthesis: Automatic parameter selection for resynthesis of emotional speech from neutral speech. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 4629–4632, Las Vegas, Nevada, apr 2008.
details doi pdf
Buntschuh
- Bruce Buntschuh, Candace Kamm, Giuseppe Di Fabbrizio, Alicia Abella, Mehryar Mohri, Shrikanth S. Narayanan, Ilija Zeljkovic, R. D. Sharp, Jeremy H. Wright, S. Marcus, J. Shaffer, R. Duncan, and J. G. Wilpon. VPQ: A spoken language interface to large scale directory information. In Proceedings of InterSpeech, pp. 2863–2867, Sydney, Australia, nov 1998.
details pdf
Burghardt
- Keith Burghardt, Ashwin Rao, Siyi Guo, Zihao He, Georgios Chochlakis, Baruah Sabyasachee, Andrew Rojecki, Shri Narayanan, and Kristina Lerman. Socio-Linguistic Characteristics of Coordinated Inauthentic Accounts. In ICWSM, pp. (in press), 2024.
details - Keith Burghardt, Nazgol Tavabbi, Emilio Ferrara, Shrikanth Narayanan, and Kristina Lerman. Having a Bad Day? Detecting the Impact of Atypical Events Using Wearable Sensors. In International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation, pp. 257–267, 2021.
details pdf
Busso
- Carlos Busso, Murtaza Bulut, Sungbok Lee, and Shrikanth S. Narayanan. Fundamental frequency analysis for speech emotion processing. In Sylvie Hancil, editor, The Role of Prosody in Affective Speech, pp. 309–337, Peter Lang Publishing Group, Berlin, Germany, 2008.
details pdf - Carlos Busso, Zhigang Deng, Ulrich Neumann, and Shrikanth S. Narayanan. Natural head motion synthesis driven by acoustic prosodic features. Journal of Computer Animation and Virtual Worlds, 16(3-4):283–290, jul 2005.
details doi pdf - Carlos Busso and Shrikanth S. Narayanan. Interrelation between speech and facial gestures in emotional utterances: A single subject study. IEEE Transactions on Audio, Speech, and Language Processing, 15(8):2331–2347, nov 2007.
details doi pdf - Carlos Busso, Zhigang Deng, Ulrich Neumann, and Shrikanth S. Narayanan. Learning expressive human-like head motion sequences from speech. In Zhigang Deng, editor, Data-Driven 3D Facial Animations, pp. 113–131, Springer-Verlag Press, 2007.
details doi pdf - Carlos Busso, Zhigang Deng, Michael Grimm, Ulrich Neumann, and Shrikanth S. Narayanan. Rigid head motion in expressive speech animation: Analysis and synthesis. IEEE Transactions on Audio, Speech, and Language Processing, 15(3):1075–1086, mar 2007.
details doi pdf - Carlos Busso, Murtaza Bulut, Chi-Chun Lee, Abe Kazemzadeh, Emily Mower, Samuel Kim, Jeannette Chang, Sungbok Lee, and Shrikanth S. Narayanan. IEMOCAP: Interactive emotional dyadic motion capture database. Journal of Language Resources and Evaluation, 42(4):335–359, dec 2008.
details doi pdf - Carlos Busso, Sungbok Lee, and Shrikanth S. Narayanan. Analysis of emotionally salient aspects of fundamental frequency for emotion detection. IEEE Transactions on Audio, Speech, and Language Processing, 17(4):582–596, may 2009.
details doi pdf - Carlos Busso, Angeliki Metallinou, and Shrikanth S. Narayanan. Iterative Feature Normalization for Emotional Speech Detection. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), may 2011.
details doi pdf - Carlos Busso, Murtaza Bulut, and Shrikanth S. Narayanan. Toward effective automatic recognition systems of emotion in speech, pp. XX–XX, In Social emotions in nature and artifact: emotions in human and human-computer interaction. S. Marsella J. Gratch, Ed., Oxford University Press, New York, NY, USA, 2012.
details doi pdf - Carlos Busso, Soroosh Mariooryad, Angeliki Metallinou, and Shrikanth S. Narayanan. Iterative Feature Normalization Scheme for Automatic Emotion Detection from Speech. IEEE Transactions on Affective Computing, 4(4):386–397, oct 2013.
details doi pdf - Carlos Busso, Zhigang Deng, Serdar Yildirim, Murtaza Bulut, Chul Min Lee, Abe Kazemzadeh, Sungbok Lee, Ulrich Neumann, and Shrikanth S. Narayanan. Analysis of emotion recognition using facial expressions, speech and multimodal information. In Proceedings of the International Conference on Multimodal Interfaces, pp. 205–211, State Park, PA, oct 2004.
details doi pdf - Carlos Busso, Zhigang Deng, Ulrich Neumann, and Shrikanth S. Narayanan. Natural head motion synthesis driven by acoustic prosodic features. In Proceedings of the Computer Animation and Social Agents, Hong Kong, China, oct 2005.
details doi pdf - Carlos Busso, Panayiotis Georgiou, and Shrikanth S. Narayanan. Real-time Monitoring of Participants' Interaction in a Meeting Using Audio-Visual Sensors. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 685–688, Honolulu, Hawaii, April 2007.
details doi pdf - Carlos Busso, Sungbok Lee, and Shrikanth S. Narayanan. Using neutral speech models for emotional speech analysis. In Proceedings of InterSpeech, pp. 2225–2228, Antwerp, Belgium, aug 2007.
details pdf - Carlos Busso, Sergi Hernanz, Chi-Wei Chu, Soonil Kwon, Sung Lee, Panayiotis Georgiou, Isaac Cohen, and Shrikanth S. Narayanan. Smart room: Participant and speaker localization and identification. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 1117–1120, Philadelphia, PA, mar 2005.
details doi pdf - Carlos Busso and Shrikanth S. Narayanan. Recording audio-visual emotional databases from actors: A closer look. In Proceedings of the International Conference on Language Resources and Evaluation (LREC), pp. 17–22, Marrakech, Morocco, may 2008.
details pdf - Carlos Busso and Shrikanth S. Narayanan. Joint analysis of the emotional fingerprint in the face and speech: A single subject study. In Proceedings of the IEEE International Workshop on Multimedia Signal Processing (MMSP), pp. 43–47, Chania, Greece, oct 2007.
details doi pdf - Carlos Busso and Shrikanth S. Narayanan. The expression and perception of emotions: Comparing assessments of self versus others. In Proceedings of InterSpeech, pp. 257–260, Brisbane, Australia, sep 2008.
details pdf - Carlos Busso and Shrikanth S. Narayanan. Scripted dialogs versus improvisation: Lessons learned about emotional elicitation techniques from the IEMOCAP database. In Proceedings of InterSpeech, pp. 1670–1673, Brisbane, Australia, sep 2008.
details pdf - Carlos Busso and Shrikanth S. Narayanan. Interplay between linguistic and affective goals in facial expression during emotional utterances. In Proceedings of the International Seminar on Speech Production (ISSP), pp. 549–556, Ubatuba, Brazil, dec 2006.
details pdf
Byrd
- Dani Byrd, Abigail Kaun, Shrikanth S. Narayanan, and Elliot Saltzman. Phrasal signatures in articulation, pp. 70–87, Cambridge University Press, New York, NY, mar 2000.
details pdf - Dani Byrd, Stephen Tobin, Erik Bresch, and Shrikanth S. Narayanan. Timing effects of syllable structure and stress on nasals: A real-time MRI examination. Journal of Phonetics, 37(1):97–110, January 2009.
details doi pdf - Dani Byrd, Shrikanth S. Narayanan, Abigail Kaun, and Elliot Saltzman. Phrasal Boundaries and Articulatory Timing. In Proceedings of the Meeting on Laboratory Phonology, Chicago, IL, June 1997.
details - Dani Byrd, Abigail Kaun, and Shrikanth S. Narayanan. Prosodic boundary effects in Tamil: An articulatory study. In Proceedings of the Annual Meeting of the Linguistic Society of America, San Diego, CA, jan 1996.
details
C.
- Adela C. Timmons, Brian R. Baucom, Sohyun C. Han, Laura Perrone, Theodora Chaspari, Shrikanth S. Narayanan, and Gayla Margolin. New Frontiers in Ambulatory Assessment: Big Data Methods for Capturing Couples’ Emotions, Vocalizations, and Physiology in Daily Life. Social Psychological and Personality Science, ():, June 2017.
details doi pdf
Cakmak
- Ozan Cakmak, Abe Kazemzadeh, Dogan Can, Serdar Yildirim, and Shrikanth S. Narayanan. Root-Word Analysis of Turkish Emotional Language. In Proceedings of 4th International Workshop on Corpora for Research on EMOTION SENTIMENT & SOCIAL SIGNALS (LREC), may 2012.
details - Ozan Cakmak, Abe Kazemzadeh, Serdar Yildirim, and Shrikanth S. Narayanan. Using Interval Type-2 Fuzzy Logic to Analyze Turkish Emotion Words. In Proceedings of APSIPA Annual Summit and Conference, dec 2012.
details pdf
Can
- Dogan Can, Panayiotis Georgiou, David Atkins, and Shrikanth S. Narayanan. A Case Study: Detecting Counselor Reflections in Psychotherapy for Addictions using Linguistic Features. In Proceedings of InterSpeech, pp. 2254–2257, September 2012.
details pdf - Dogan Can and Shrikanth S. Narayanan. On the Computation of Document Frequency Statistics from Spoken Corpora using Factor Automata. In Proceedings of InterSpeech, aug 2013.
details pdf - Dogan Can, James Gibson, Colin Vaz, Panayiotis Georgiou, and Shrikanth Narayanan. Barista: A Framework for Concurrent Speech Processing by USC-SAIL. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), pp. 3306–3310, may 2014.
details doi pdf - Dogan Can, David Atkins, and Shrikanth S. Narayanan. A Dialog Act Tagging Approach to Behavioral Coding: A Case Study of Addiction Counseling Conversations. In Proceedings of Interspeech, pp. 339–343, sep 2015.
details pdf - Dogan Can and Shrikanth S. Narayanan. A Dynamic Programming Algorithm for Computing N-gram Posteriors from Lattices. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 2388–2397, Association for Computational Linguistics, sep 2015.
details doi pdf - Dogan Can, Rebeca Marin, Panayiotis Georgiou, Zac E. Imel, David Atkins, and Shrikanth S. Narayanan. "It sounds like...": A Natural Language Processing Approach to Detecting Counselor Reflections in Motivational Interviewing. Journal of Counseling Psychology, 2015.
details doi pdf - Dogan Can, Victor Martinez, Pavlos Papadopoulos, and Shrikanth Narayanan. PYKALDI: A PYTHON WRAPPER FOR KALDI. In Proceedings of ICASSP, April 2018.
details
Carta
- K.E. Carta, G.A. Jumonville, J.B. Duong, S.N. Walters, A.S. Carrasco, D.N. Romero, I. P Khurd, T. Chaspari, S.C. Han, Y. Kim, S. Narayanan, G. Margolin, and A.C. Timmons. Effects of Emotional Spillover and Exposure to Interparental Psychological Aggression on Momentary Physiological Linkage during Naturalistic Couple Conflicts. Biological Psychology, pp. 109191, 2026.
details doi HTML
Cassani
- Raymond Cassani, Shrikanth S. Narayanan, and Tiago Falk. RESPIRATION RATE ESTIMATION FROM NOISY ELECTROCARDIOGRAMS BASED ON MODULATION SPECTRAL ANALYSIS. In Proceedings of 2018 Canadian Medical & Biological Engineering Conference, Charlottetown, Canada, may 2018.
details pdf
Cen
- Lingkai Cen, Joon-Ho Choi, Xiaomeng Yao, Yolanda Gil, Shrikanth Narayanan, and Maryann Pentz. A Personal Visual Comfort Model: Predict Individual’s Visual Comfort Using Occupant Eye Pupil Size and Machine Learning. In In proceedings of 10th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings (IAQVEC2019), September 2019.
details
Chakravarthula
- Sandeep Nallan Chakravarthula, Rahul Gupta, Brian Baucom, and Panayiotis Georgiou. A LANGUAGE-BASED GENERATIVE MODEL FRAMEWORK FOR BEHAVIORAL ANALYSIS OF COUPLES' THERAPY. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), apr 2015.
details pdf - Sandeep Nallan Chakravarthula, Bo Xiao, Zac E. Imel, David C. Atkins, and Panayiotis Georgiou. Assessing Empathy using Static and Dynamic Behavior Models based on Therapist's Language in Addiction Counseling. In Proceedings of Interspeech, pp. 668–672, sep 2015.
details pdf - Sandeep Nallan Chakravarthula, Md Nasir, Shao-Yen Tseng, Haoqi Li, Tae Jin Park, Brian Baucom, Craig Bryan, Shrikanth Narayanan, and Panayiotis Georgiou. AUTOMATIC PREDICTION OF SUICIDAL RISK IN MILITARY COUPLES USING MULTIMODAL INTERACTION CUES FROM COUPLES CONVERSATIONS. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), May 2020.
details pdf
Chakravarthula}
- Sandeep Nallan Chakravarthula, Brian R.W. Baucom, Shrikanth Narayanan, and Panayiotis Georgiou. An analysis of observation length requirements for machine understanding of human behaviors from spoken language. Computer Speech & Language, 66:101162, 2021.
details doi pdf
Chang
- Melinda Y. Chang, Gena Heidary, Shannon Beres, Stacy L. Pineles, Eric D. Gaier, Ryan Gise, Mark Reid, Kleanthis Avramidis, Mohammad Rostami, and Shrikanth Narayanan. Artificial Intelligence to Differentiate Pediatric Pseudopapilledema and True Papilledema on Fundus Photographs. Ophthalmology Science, pp. 100496, 2024.
details doi HTML
Chaspari
- Theodora Chaspari, Andreas Tsiartas, Panagiotis Tsilifis, and Shrikanth S. Narayanan. Markov Chain Monte Carlo Inference of Parametric Dictionaries for Sparse Bayesian Approximations. IEEE Transactions on Signal Processing, 64:3077–3092, jun 2016.
details doi pdf - Theodora Chaspari, Emily Mower Provost, Athanasios Katsamanis, and Shrikanth S. Narayanan. An Acoustic Analysis of Shared Enjoyment in ECA Interactions of Children with Autism. In Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4485–4488, March 2012.
details doi pdf - Theodora Chaspari, Chi-Chun Lee, and Shrikanth S. Narayanan. Interplay between verbal response latency and physiology of children with autism during ECA interactions. In Proceedings of InterSpeech, pp. 1319–1322, sep 2012.
details pdf - Theodora Chaspari, Emily Mower Provost, and Shrikanth S. Narayanan. Analyzing the structure of parent-moderated narratives from children with ASD using an entity-based approach. In Proceedings of InterSpeech, aug 2013.
details pdf - Theodora Chaspari, Daniel Bone, James Gibson, Chi-Chun Lee, and Shrikanth S. Narayanan. Using physiology and language cues for modeling verbal response latencies of children with ASD. In International Conference on Acoustics, Speech and Signal Processing (ICASSP), may 2013.
details doi pdf - Theodora Chaspari, Matthew Goodwin, Oliver Wilder-Smith, Amanda Gulsrud, Charlotte Mucchetti, Connie Kasari, and Shrikanth Narayanan. A Non-Homogeneous Poisson Process Model of Skin Conductance Responses Integrated with Observed Regulatory Behaviors for Autism Intervention. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), may 2014.
details doi pdf - Theodora Chaspari, Brian Baucom, Adela Timmons, Andreas Tsiartas, Larissa Borofsky Del Piero, Katherine Baucom, Panayiotis Georgiou, Gayla Margolin, and Shrikanth S. Narayanan. QUANTIFYING EDA SYNCHRONY THROUGH JOINT SPARSE REPRESENTATION: A CASE-STUDY OF COUPLES’ INTERACTIONS. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), apr 2015.
details doi pdf - Theodora Chaspari, Andreas Tsiartas, Leah Stein, Sharon Cermak, and Shrikanth S. Narayanan. Sparse Representation of Electrodermal Activity with Knowledge-Driven Dictionaries. IEEE Transactions on Biomedical Engineering, 62(3):960–971, mar 2015.
details doi pdf - Theodora Chaspari, Sohyun Han, Daniel Bone, Adela Timmons, Laura Perrone, Gayla Margolin, and Shrikanth S. Narayanan. Dynamical Systems Modeling of Acoustic and Physiological Arousal in Young Couples. In Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI) Spring Symposia, apr 2016.
details pdf - Theodora Chaspari, Andreas Tsiartas, Leah Stein, Sharon Cermak, and Shrikanth S. Narayanan. EDA-Gram: Designing Electrodermal Activity Fingerprints for Visualization and Feature Extraction. In Proceedings of 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’16), pp. 403–406, aug 2016.
details doi pdf - Theodora Chaspari, Adela C. Timmons, Brian R. Baucom, Laura Perrone, Andreas Tsiartas, Katherine J.W. Baucom, Panayiotis Georgiou, Gayla Margolin, and Shrikanth S. Narayanan. Exploring Sparse Representation Measures of Physiological Synchrony for Romantic Couples. In Proceedings of Seventh International Conference on Affective Computing and Intelligent Interaction, October 2017.
details - Theodora Chaspari, Sohyun Han, Daniel Bone, Adela Timmons, Laura Perrone, Gayla Margolin, and Shrikanth S. Narayanan. QUANTIFYING REGULATION MECHANISMS IN DATING COUPLES THROUGH A DYNAMICAL SYSTEMS MODEL OF ACOUSTIC AND PHYSIOLOGICAL AROUSAL. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), mar 2017.
details doi
Chatziagapi
- Aggelina Chatziagapi, Dimitris Sgouropoulos, Constantinos Karouzos, Thomas Melistas, Theodoros Giannakopoulos, Athanasios Katsamanis, and Shrikanth Narayanan. Audio and ASR-based Filled Pause Detection. In 2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII), pp. 1–7, 2022.
details doi pdf - Aggelina Chatziagapi, Georgios Paraskevopoulos, Dimitris Sgouropoulos, Georgios Pantazopoulos, Malvina Nikandrou, Theodoros Giannakopoulos, Athanasios Katsamanis, Alexandros Potamianos, and Shrikanth Narayanan. Data Augmentation using GANs for Speech Emotion Recognition. In In proceedings of Proceedings of Interspeech, September 2019.
details
Chen
- Zhuohao Chen, Nikolaos Flemotomos, Zac E Imel, David C Atkins, and Shrikanth Narayanan. Leveraging Open Data and Task Augmentation to Automated Behavioral Coding of Psychotherapy Conversations in Low-Resource Scenarios. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (Findings of EMNLPi 2022), 2022.
details pdf - Zhuohao Chen, Nikolaos Flemotomos, Karan Singla, Torrey A. Creed, David C. Atkins, and Shrikanth Narayanan. An automated quality evaluation framework of psychotherapy conversations with local quality estimates. Computer Speech & Language, 75:101380, 2022.
details doi pdf - Zhuohao Chen, Nikolaos Flemotomos, Victor Ardulov, Torrey A Creed, Zac E Imel, David C Atkins, and Shrikanth Narayanan. Feature fusion strategies for end-to-end evaluation of cognitive behavior therapy sessions. In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 1836–1839, 2021.
details - Weiyi Chen, Dani Byrd, Shrikanth Narayanan, and Krishna Nayak. Intermittently Tagged Real-Time MRI Reveals Internal Tongue Motion during Speech Production. Magnetic Resonance in Medicine, 82(2):600–613, August 2019.
details - Weiyi Chen, Dani Byrd, Shrikanth Narayanan, and Krishna Nayak. Improved real-time tagged MRI using REALTAG. Magenetic Resonance in Medicine, 2019.
details - Zhuohao Chen, James Gibson, Ming-Chang Chiu, Qiaohong Hu, Tara Knight, Daniella Meeker, James A. Tulsky, Kathryn Pollak, and Shrikanth Narayanan. Automated Empathy Detection for Oncology Encounters. In Proceedings of International Conference on Healthcare Informatics (ICHI 2020), December 2020.
details - Zhuohao Chen, Karan Singla, James Gibson, Dogan Can, Zac Imel, David Atkins, Panayiotis Georgiou, and Shrikanth Narayanan. Prediction of Therapist Behaviors in Addiction Counseling by Exploiting Class Confusions. In Proceedings of ICASSP, May 2019.
details
Chiu
- Ming-Chang Chiu, Tiantian Feng, Xiang Ren, and Shrikanth Narayanan. Screenplay Quality Assessment: Can We Predict Who Gets Nominated?. In Proceedings of the First Joint Workshop on Narrative Understanding, Storylines, and Events, pp. 11–16, Association for Computational Linguistics, Online, July 2020.
details doi pdf
Chochlakis
- Georgios Chochlakis, Peter Wu, Tikka Arjun Singh Bedi, Marcus Ma, Kristina Lerman, and Shrikanth Narayanan. Humans Hallucinate Too: Language Models Identify and Correct Subjective Annotation Errors With Label-in-a-Haystack Prompts. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pp. 19637–19656, Association for Computational Linguistics, Suzhou, China, November 2025.
details doi HTML - Georgios Chochlakis, Alexandros Potamianos, Kristina Lerman, and Shrikanth Narayanan. Aggregation Artifacts in Subjective Tasks Collapse Large Language Models' Posteriors. In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), pp. 5513–5528, Association for Computational Linguistics, Albuquerque, New Mexico, April 2025.
details HTML - Georgios Chochlakis, Niyantha Maruthu Pandiyan, Kristina Lerman, and Shrikanth Narayanan. Larger Language Models Don’t Care How You Think: Why Chain-of-Thought Prompting Fails in Subjective Tasks. In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1–8, , 2025.
details doi pdf - Georgios Chochlakis, Alexandros Potamianos, Kristina Lerman, and Shrikanth Narayanan. The Strong Pull of Prior Knowledge in Large Language Models and Its Impact on Emotion Recognition. In 2024 12th International Conference on Affective Computing and Intelligent Interaction (ACII), pp. 1–8, , 2024.
details doi pdf - Georgios Chochlakis, Gireesh Mahajan, Sabyasachee Baruah, Keith Burghardt, Kristina Lerman, and Shrikanth Narayanan. Using Emotion Embeddings to Transfer Knowledge Between Emotions, Languages, and Annotation Formats. In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1–5, , 2023.
details doi pdf - Georgios Chochlakis, Gireesh Mahajan, Sabyasachee Baruah, Keith Burghardt, Kristina Lerman, and Shrikanth Narayanan. Leveraging Label Correlations in a Multi-label Setting: A Case Study in Emotion. In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1–5, , 2023.
details doi pdf
Choudhary
- Sunav Choudhary, Naveen Kumar, Shrikanth Narayanan, and Urbashi Mitra. Active Target Detection with Mobile Agents. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), may 2014.
details doi pdf
Chu
- Selina Chu, Shrikanth S. Narayanan, and C.-C. Jay Kuo. A semi-supervised learning approach to online audio background detection. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 1629–1632, Taipei, Taiwan, apr 2009.
details doi pdf - Selina Chu, Shrikanth S. Narayanan, and C.-C. Jay Kuo. Environmental Sound Recognition with Time–frequency Audio Features. IEEE Transactions on Audio, Speech, and Language Processing, 17(6):1142–1158, August 2009.
details doi pdf - Selina Chu, Shrikanth S. Narayanan, and C.-C. Jay Kuo. Unstructured Environmental Audio: Representation, Classification and Modeling, pp. 1–21, Machine Audition: Principles, Algorithms and Systems, Information Science Reference (IGI Global), Hershey, PA, 2010.
details pdf - Selina Chu, Shrikanth S. Narayanan, and C.-C. Jay Kuo. Composite-DBN for Recognition of Environmental Contexts. In Proceedings of APSIPA Annual Summit and Conference, dec 2012.
details pdf - Selina Chu, Shrikanth S. Narayanan, and C.-C. Jay Kuo. Towards parameter-free classification of sound effects in movies. In Proceedings of the SPIE Optics and Photonics Symposium, San Diego, CA, aug 2005.
details doi pdf - Selina Chu, Shrikanth S. Narayanan, and C.-C. Jay Kuo. Efficient Rotation Invariant Retrieval of Shapes Using Dynamic Time Warping With Applications in Medical Databases. In Proceedings of the IEEE International Symposium on Computer-Based Medical Systems (CBMS), pp. 673–678, Salt Lake City, UT, June 2006.
details pdf - Selina Chu, Shrikanth S. Narayanan, C.-C. Jay Kuo, and Maja J. Mataric. Where am I? Scene recognition for mobile robots using audio features. In Proceedings of the IEEE International Conference on Multimedia & Expo (ICME), pp. 885–888, Toronto, Canada, jul 2006.
details doi pdf - Selina Chu, Shrikanth S. Narayanan, and C.-C. Jay Kuo. Content analysis for acoustic environment classification in mobile robots. In Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI) Fall Symposium, Arlington, VA, oct 2006.
details pdf - Selina Chu, Shrikanth S. Narayanan, and C.-C. Jay Kuo. Environmental sound recognition using MP-based features. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 1–4, Las Vegas, Nevada, apr 2008.
details doi
Creed
- Torrey A Creed, Leah Salama, Roisin Slevin, Michael Tanana, Zac Imel, Shrikanth Narayanan, and David C Atkins. Enhancing the quality of cognitive behavioral therapy in community mental health through artificial intelligence generated fidelity feedback (Project AFFECT): a study protocol. BMC Health Services Research, 22(1):1–11, Springer, 2022.
details doi pdf - Torrey A Creed, Patty B Kuo, Rebecca Oziel, Danielle Reich, Margaret Thomas, Sydne O’Connor, Zac E Imel, Tad Hirsch, Shrikanth Narayanan, and David C Atkins. Knowledge and Attitudes Toward an Artificial Intelligence-Based Fidelity Measurement in Community Cognitive Behavioral Therapy Supervision. Administration and Policy in Mental Health and Mental Health Services Research, 49(3):343–356, Springer, 2022.
details doi pdf
Deng
- Zhigang Deng, Ulrich Neumann, John P. Lewis, Tae-Yong Kim, Murtaza Bulut, and Shrikanth S. Narayanan. Expressive facial animation synthesis by learning speech coarticulation and expression spaces. IEEE Transactions on Visualization and Computer Graphics, 12(6):1523–1534, November/December 2006.
details doi pdf - Zhigang Deng, Murtaza Bulut, Ulrich Neumann, and Shrikanth S. Narayanan. Automatic dynamic expression synthesis for speech animation. In Proceedings of the IEEE Computer Animation and Social Agents (CASA), pp. 267–274, IEEE Press, Geneva, Switzerland, jul 2004.
details pdf - Zhigang Deng, Carlos Busso, Shrikanth S. Narayanan, and Ulrich Neumann. Audio-based head motion synthesis for avatar-based telepresence systems. In Proceedings of the ACM SIGMM Effective Telepresence Workshop (ETP), pp. 24–30, ACM Press, New York, NY, oct 2004.
details doi pdf
Dhand
- Amar Dhand, Samuel Tate, Cade Mack, Sofia Carozza, David Farynyk, Mehdi Bourahla, Oluwamayomikun Adeboye, Grace Cooke, Olivia Berglund, Riya Dahima, Melinda Luo, Vrushali Dhongade, George S. Usmanov, Kelly White, Amanda M Bernal, Ross Zafonte, Shrikanth Narayanan, Minwoo Lee, Matthias R. Mehl, and Min Shin. Validation of socialbit as a smartwatch algorithm for social interaction detection in a clinical population. Scientific Reports, 16(1):4529, Feb 2026.
details doi HTML - Amar Dhand, Archana Podury, Niteesh Choudhry, Shrikanth Narayanan, Min Shin, and Matthias R Mehl. Leveraging Social Networks for the Assessment and Management of Neurological Patients. In Seminars in Neurology, pp. 136–148, 42, 2022.
details doi pdf
Dibazar
- Alireza A. Dibazar, Theodore W. Berger, and Shrikanth S. Narayanan. Pathological Voice Assessment. In Proceedings of the IEEE Engineering in Medicine and Biology Society (EMBS) Annual International Conference, pp. 1669–1673, New York, NY, August 2006.
details doi pdf - Alireza A. Dibazar, Shrikanth S. Narayanan, and Theodore W. Berger. Feature analysis for automatic detection of pathological speech. In Proceedings of the IEEE Engineering in Medicine and Biology Society (EMBS) Meeting, pp. 182–183, Houston, Texas, oct 2002.
details doi pdf - Alireza A. Dibazar and Shrikanth S. Narayanan. A system for automatic recognition of pathological speech. In Proceedings of the Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, nov 2002.
details pdf
Durante
- Zane Durante, Victor Ardulov, Manoj Kumar, Jennifer Gongola, Thomas Lyon, and Shrikanth Narayanan. Causal indicators for assessing the truthfulness of child speech in forensic interviews. Computer Speech & Language, 71:101263, 2022.
details doi pdf
Dutton
- Dawn Dutton, Selina Chu, James Hubbell, Marilyn Walker, and Shrikanth S. Narayanan. Just (all) the facts, ma'am. In Proceedings of the ACM Conference on Computer-Human Interaction (CHI), pp. 133–134, Seattle, WA, March 2001.
details pdf - Dawn Dutton, Selina Chu, James Hubbell, Marilyn Walker, and Shrikanth S. Narayanan. Amount of information presented in a complex list: Effects on user performance. In Proceedings of the Human Language Technology (HLT) Conference, pp. 1–6, San Diego, CA, mar 2001.
details doi pdf
Emken
- Adar Emken, Ming Li, Gautam Thatte, Sangwon Lee, Murali Annavaram, Urbashi Mitra, Shrikanth S. Narayanan, and Donna Spruijt-Metz. Recognition of Physical Activities in Overweight Hispanic Youth Using KNOWME Networks. Journal of Physical Activity & Health, 9(3):432–441, mar 2012.
details doi pdf
Espy-Wilson
- Carol Y. Espy-Wilson, Shrikanth S. Narayanan, Abeer Alwan, and Suzanne E. Boyce. Acoustic modelling of American English /r/. In Proceedings of InterSpeech, pp. 393–396, 1, Rhodes, Greece, sep 1997.
details doi pdf
Ettelaie
- Emil Ettelaie, Panayiotis Georgiou, and Shrikanth S. Narayanan. Hierarchical Classification for Speech-to-Speech Translation. In Proceedings of InterSpeech, Makuhari, Japan, sep 2010.
details pdf - Emil Ettelaie, Panayiotis Georgiou, and Shrikanth S. Narayanan. Enhancements to the Training Process of Classifier-based Speech Translator via Topic Modeling.. In Proceedings of Interspeech, Florence, Italy, aug 2011.
details pdf - Emil Ettelaie, Panayiotis Georgiou, and Shrikanth S. Narayanan. Unsupervised Data Processing for Classifier-based Speech Translator. Computer, Speech, and Language, 27(2):438–454, feb 2013.
details doi pdf - Emil Ettelaie, Panayiotis Georgiou, and Shrikanth S. Narayanan. Cross-lingual dialog model for speech to speech translation. In Proceedings of InterSpeech, Pittsburgh, PA, sep 2006.
details pdf - Emil Ettelaie, Panayiotis Georgiou, and Shrikanth S. Narayanan. Mitigation of data sparsity in classifier-based translation. In Proceedings of the International Conference on Computational Linguistics (COLING), pp. 1–4, Manchester, UK, aug 2008.
details pdf - Emil Ettelaie, Panayiotis Georgiou, and Shrikanth S. Narayanan. Towards unsupervised training of the classifier-based speech translator. In Proceedings of InterSpeech, pp. 2739–2742, Brisbane, Australia, sep 2008.
details doi pdf
Eyben
- Florian Eyben, Klaus Scherer, Bjorn Schuller, Johan Sundberg, Elisabeth Andre, Carlos Busso, Laurence Devillers, Julien Epps, Petri Laukka, Shrikanth S. Narayanan, and Khiet Truong. The Geneva minimalistic acoustic parameter set (GeMAPS) for voice research and affective computing. IEEE Transactions on Affective Computing, 2015.
details doi pdf
Fabbrizio
- Giuseppe Di Fabbrizio, Shrikanth S. Narayanan, P. Ruscitti, Candace Kamm, Bruce Buntschuh, James Hubbell, Jeremy H. Wright, and J. Hamaker. Unifying conversational multimedia interfaces for accessing network services across communication devices. In Proceedings of the IEEE International Conference on Multimedia & Expo (ICME), pp. 1–4, 22, New York, jul 2000.
details doi pdf - Giuseppe Di Fabbrizio, P. Ruscitti, Shrikanth S. Narayanan, and Candace Kamm. Extending computer telephony and IP telephony standards for voice-enabled services in a multi-modal user interface environment. In Proceedings of Interactive Dialogue in Multi-Modal Systems (IDS), pp. 9–12, Kloster Irsee, Germany, jun 1999.
details - Giuseppe Di Fabbrizio and Shrikanth S. Narayanan. Web-based monitoring, logging and reporting tools for multiservice, multimodal systems. In Proceedings of InterSpeech, pp. 1041–1044, Beijing, China, oct 2000.
details
Farahani
- Farhad Farahani, Panayiotis Georgiou, and Shrikanth S. Narayanan. Speaker identification using supra-segmental pitch pattern dynamics. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 89–92, Montreal, Canada, may 2004.
details doi pdf
Farantouri
- Vassiliki Farantouri, Alexandros Potamianos, and Shrikanth S. Narayanan. Linguistic analysis of spontaneous children speech. In Proceedings of the Workshop on Child, Computer and Interaction, Chania, Greece, oct 2008.
details pdf
Feng
- Tiantian Feng, Kevin Huang, Anfeng Xu, Xuan Shi, Thanathai Lertpetchpun, Jihwan Lee, Yoonjeong Lee, Dani Byrd, and Shrikanth Narayanan. Voxlect: A Speech Foundation Model Benchmark for Modeling Dialects and Regional Languages Around the Globe. In Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, pp. 2640–2651, KDD '26, Association for Computing Machinery, New York, NY, USA, 2026.
details doi HTML - Tiantian Feng, Tuo Zhang, Salman Avestimehr, and Shrikanth Narayanan. ModalityMirror: Enhancing Audio Classification in Modality Heterogeneity Federated Learning via Multimodal Distillation. In Proceedings of the 35th Workshop on Network and Operating System Support for Digital Audio and Video, pp. 78–83, 2025.
details - Tiantian Feng, Anfeng Xu, Xuan Shi, Somer Bishop, and Shrikanth Narayanan. Egocentric Speaker Classification in Child-Adult Dyadic Interactions: From Sensing to Computational Modeling. In Interspeech 2025, pp. 2835–2839, 2025.
details doi HTML - Tiantian Feng, Thanathai Lertpetchpun, Dani Byrd, and Shrikanth Narayanan. Developing a Top-tier Framework in Naturalistic Conditions Challenge for Categorized Emotion Prediction: From Speech Foundation Models and Learning Objective to Data Augmentation and Engineering Choices. In Interspeech 2025, pp. 4643–4647, 2025.
details doi HTML - Tiantian Feng, Daniel Yang, Digbalay Bose, and Shrikanth Narayanan. Can Text-to-image Model Assist Multi-modal Learning for Visual Recognition with Visual Modality Missing?. In Proceedings of the 26th International Conference on Multimodal Interaction, pp. 124–133, ICMI 24, Association for Computing Machinery, New York, NY, USA, 2024.
details doi HTML - Tiantian Feng, Dimitrios Dimitriadis, and Shrikanth S. Narayanan. Can Synthetic Audio From Generative Foundation Models Assist Audio Recognition and Speech Modeling?. In Interspeech 2024, pp. 542–546, 2024.
details doi - Tiantian Feng and Shrikanth Narayanan. Understanding Stress, Burnout, and Behavioral Patterns in Medical Residents Using Large-scale Longitudinal Wearable Recordings. In Proceedings of the 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2024.
details pdf - Tiantian Feng, Rajat Hebbar, and Shrikanth Narayanan. TRUST-SER: On The Trustworthiness Of Fine-Tuning Pre-Trained Speech Embeddings For Speech Emotion Recognition. In ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 11201–11205, , April 2024.
details doi pdf - Tiantian Feng and Shrikanth Narayanan. Foundation Model Assisted Automatic Speech Emotion Recognition: Transcribing, Annotating, and Augmenting. In ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 12116–12120, , April 2024.
details doi pdf - Tiantian Feng and Shrikanth Narayanan. PEFT-SER: On the Use of Parameter Efficient Transfer Learning Approaches For Speech Emotion Recognition Using Pre-trained Speech Models. In 2023 11th International Conference on Affective Computing and Intelligent Interaction (ACII), pp. 1–8, , 2023.
details pdf - Tiantian Feng, Digbalay Bose, Xuan Shi, and Shrikanth Narayanan. Unlocking Foundation Models for Privacy-Enhancing Speech Understanding: An Early Study on Low Resource Speech Training Leveraging Label-guided Synthetic Speech Content. In Proc. 3rd Symposium on Security and Privacy in Speech Communication, pp. 11–15, 2023.
details doi pdf - Tiantian Feng, Digbalay Bose, Tuo Zhang, Rajat Hebbar, Anil Ramakrishna, Rahul Gupta, Mi Zhang, Salman Avestimehr, and Shrikanth Narayanan. FedMultimodal: A Benchmark for Multimodal Federated Learning. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 4035–4045, KDD '23, Association for Computing Machinery, New York, NY, USA, 2023.
details doi pdf - Tiantian Feng, Rajat Hebbar, Nicholas Mehlman, Xuan Shi, Aditya Kommineni, and Shrikanth Narayanan. A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness. APSIPA Transactions on Signal and Information Processing, 12(3), 2023.
details doi pdf - Tiantian Feng and Shrikanth Narayanan. Semi-FedSER: Semi-supervised Learning for Speech Emotion Recognition On Federated Learning using Multiview Pseudo-Labeling. In Proc. Interspeech 2022, pp. 5050–5054, 2022.
details doi pdf - Tiantian Feng, Raghuveer Peri, and Shrikanth Narayanan. User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition on Federated Learning. In Proc. Interspeech 2022, pp. 5055–5059, 2022.
details doi pdf - Tiantian Feng, Hanieh Hashemi, Murali Annavaram, and Shrikanth S. Narayanan. Enhancing Privacy Through Domain Adaptive Noise Injection For Speech Emotion Recognition. In ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 7702–7706, , 2022.
details doi pdf - Tiantian Feng and Shrikanth Narayanan. Privacy and Utility Preserving Data Transformation for Speech Emotion Recognition. In 2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII), pp. 1–7, 2021.
details doi pdf - Tiantian Feng, Brandon M Booth, Brooke Baldwin-Rodríguez, Felipe Osorno, and Shrikanth Narayanan. A multimodal analysis of physical activity, sleep, and work shift in nurses with wearable sensor data. Scientific Reports, 11(1):1–12, Nature Publishing Group, 2021.
details doi pdf - Tiantian Feng, Amrutha Nadarajan, Colin Vaz, Brandon M. Booth, and Shrikanth S. Narayanan. TILES Audio Recorder: An unobtrusive wearable solution to track audio activity. In WearSys '18: 4th ACM Workshop on Wearable Systems and Applications, Munich, Germany, june 2018.
details pdf - Tiantian Feng and Shrikanth Narayanan. Discovering Optimal Variable-length Time Series Motifs in Large-Scale Wearable Recordings of Human Bio-behavioral Signals. In Proceedings of ICASSP, May 2019.
details - Tiantian Feng and Shrikanth Narayanan. Imputing Missing Data In Large-Scale Multivariate Biomedical Wearable Recordings Using Bidirectional Recurrent Neural Networks With Temporal Activation. In In proceedings of 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’19), July 2019.
details - Tiantian Feng and Shrikanth Narayanan. Modeling Behavioral Consistency In Large-Scale Wearable Recordings of Human Bio-behavioral Signals. In Proceedings of ICASSP, May 2020.
details doi pdf - Tiantian Feng, Brandon Booth, and Shrikanth Narayanan. Modeling Behavior as Mutual Dependency Between Physiological Signals and Indoor Location In Large-Scale Wearable Sensor Study. In Proceedings of ICASSP, May 2020.
details doi pdf - Tiantian Feng and Shrikanth Narayanan. Movement Behavior Among Nursing Profession. In In proceedings of 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), July 2020.
details
Flemotomos
- Nikolaos Flemotomos and Shrikanth Narayanan. Multimodal Clustering with Role Induced Constraints for Speaker Diarization. In Proc. Interspeech 2022, pp. 5075–5079, 2022.
details doi pdf - Nikolaos Flemotomos, Victor R Martinez, Zhuohao Chen, Torrey Creed, David C. Atkins, and Shrikanth S. Narayanan. Automated quality assessment of cognitive behavioral therapy sessions through highly contextualized language representations. PLOS ONE, 16:e0258639, Public Library of Science, 10 2021.
details doi pdf - Nikolaos Flemotomos, Victor R Martinez, Zhuohao Chen, Karan Singla, Victor Ardulov, Raghuveer Peri, Derek D Caperton, James Gibson, Michael J Tanana, Panayiotis Georgiou, Jake Van Epps, Sarah P. Lord, Tad Hirsch, Zac E. Imel, David C. Atkins, and Shrikanth S. Narayanan. Automated Evaluation Of Psychotherapy Skills Using Speech And Language Technologies. Behavior Research Methods, 54(2):690–711, Springer, 2022.
details doi pdf - Nikolaos Flemotomos, Panayiotis Georgiou, and Shrikanth Narayanan. Linguistically Aided Speaker Diarization Using Speaker Role Information. In Proceedings of Odyssey, pp. 117–124, November 2020.
details doi pdf - Nikolaos Flemotomos, Pavlos Papadopoulos, James Gibson, and Shrikanth S. Narayanan. Combined Speaker Clustering and Role Recognition in Conversational Speech. In Proceedings of InterSpeech, Hyderabad, India, sep 2018.
details pdf - Nikolaos Flemotomos, Victor Martinez, James Gibson, David Atkins, Torrey Creed, and Shrikanth S. Narayanan. Language Features for Automated Evaluation of Cognitive Behavior Psychotherapy Sessions. In Proceedings of InterSpeech, Hyderabad, India, sep 2018.
details pdf - Nikolaos Flemotomos, Zhuohao Chen, David Atkins, and Shrikanth Narayanan. Role Annotated Speech Recognition for Conversational Interactions. In In proceedings of IEEE Workshop on Spoken Language Technology, December 2018.
details - Nikolaos Flemotomos, Panayiotis Georgiou, David Atkins, and Shrikanth Narayanan. Role Specific Lattice Rescoring for Speaker Role Recognition From Speech Recognition Outputs. In Proceedings of ICASSP, May 2019.
details
Foley
- Sean Foley, Jihwan Lee, Kevin Huang, Xuan Shi, Yoonjeong Lee, Louis Goldstein, and Shrikanth Narayanan. A Long-Form Single-Speaker Real-Time MRI Speech Dataset and Benchmark. In ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 19512–19516, , May 2026.
details doi HTML
Frank
- Adam C Frank, Ruibei Li, Bradley S Peterson, and Shrikanth S Narayanan. Wearable and Mobile Technologies for the Evaluation and Treatment of Obsessive-Compulsive Disorder: Scoping Review. JMIR Mental Health, 10:e45572, JMIR Publications Toronto, Canada, 2023.
details doi pdf
Gaballah
- Amr Gaballah, Abhishek Tiwari, Shrikanth Narayanan, and Tiago Falk. Context-Aware Speech Stress Detection in Hospital Workers Using Bi-LSTM Classifiers. In In proceedings of ICASSP, May 2021.
details doi pdf
Ganapathy
- Sriram Ganapathy, Kyu Jeong Han, Thomas Samuel, Mohamed K. Omar, Maarten Van Segbroeck, and Shrikanth Narayanan. Robust Language Identification Using Convolutional Neural Network Features. In Proceedings of Interspeech, sep 2014.
details pdf
Ganjavi
- Shadi Ganjavi, Panayiotis Georgiou, and Shrikanth S. Narayanan. A transcription scheme for languages employing the Arabic script motivated by speech processing applications. In Proceedings of the International Conference on Computational Linguistics, Geneva, Switzerland, aug 2004.
details pdf - Shadi Ganjavi, Panayiotis Georgiou, and Shrikanth S. Narayanan. ASCII based transcription systems with the Arabic script: The case of Persian. In Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), St. Thomas, U.S. Virgin Islands, dec 2003.
details doi pdf
Georgiou
- Panayiotis Georgiou, Matthew P. Black, and Shrikanth S. Narayanan. Behavioral Signal Processing for Understanding (Distressed) Dyadic Interactions: Some Recent Developments. In Third International Workshop on Social Signal Processing (SSPW’11), ACM Multimedia’11, pp. 7–12, dec 2011.
details doi pdf - Panayiotis Georgiou, Matthew P. Black, Adam Lammert, Brian Baucom, and Shrikanth S. Narayanan. That's aggravating, very aggravating: Is it possible to classify behaviors in couple interactions using automatically derived lexical features?. In Proceedings of Affective Computing and Intelligent Interaction (ACII), Lecture Notes in Computer Science, oct 2011.
details doi pdf - Panayiotis Georgiou, Abhinav Sethy, JongHo Shin, and Shrikanth S. Narayanan. An English-Persian automatic speech translator: Recent developments in domain portability and user modeling. In Proceedings of the International Conference on Intelligent Systems and Computing (ISYC), Ayia Napa, Cyprus, jul 2006.
details pdf - Panayiotis Georgiou, Hooman Shirani Mehr, and Shrikanth S. Narayanan. Context dependent statistical augmentation of Persian transcripts. In Proceedings of InterSpeech, pp. 853–856, Jeju Island, Korea, oct 2004.
details pdf
Gerosa
- Matteo Gerosa, Diego Giuliani, Shrikanth S. Narayanan, and Alexandros Potamianos. A review of ASR technologies for children’s speech. In Proceedings of the Workshop on Child, Computer and Interaction, Cambridge, MA, nov 2009.
details doi pdf - Matteo Gerosa, Sungbok Lee, Diego Giuliani, and Shrikanth S. Narayanan. Analyzing children's speech: An acoustic study of consonants and consonant-vowel transition. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 393–396, Toulose, France, may 2006.
details doi pdf - Matteo Gerosa and Shrikanth S. Narayanan. Investigating automatic assessment of reading comprehension in young children. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 5057–5060, Las Vegas, Nevada, apr 2008.
details doi pdf - Matteo Gerosa, Diego Giuliani, and Shrikanth S. Narayanan. Acoustic analysis and automatic recognition of spontaneous children's speech. In Proceedings of InterSpeech, Pittsburgh, PA, sep 2006.
details pdf
Ghosh
- Prasanta Kumar Ghosh, Shrikanth S. Narayanan, Pierre Divenyi, Louis Goldstein, and Elliot Saltzman. Estimation of articulatory gesture patterns from speech acoustics. In Proceedings of InterSpeech, Brighton, UK, sep 2009.
details pdf - Prasanta Kumar Ghosh and Shrikanth S. Narayanan. Closure duration analysis of incomplete stop consonants due to stop-stop interaction. Journal of the Acoustical Society of America, 126(1):EL1–EL7, jul 2009.
details doi pdf - Prasanta Kumar Ghosh and Shrikanth S. Narayanan. Pitch contour stylization using an optimal piecewise polynomial approximation. IEEE Signal Processing Letters, 16(9):810–813, sep 2009.
details doi pdf - Prasanta Kumar Ghosh and Shrikanth S. Narayanan. A generalized smoothness criterion for acoustic-to-articulatory inversion. J. Acoust. Soc. Am., 128(4):2162–2172, 2010.
details doi pdf - Prasanta Kumar Ghosh and Shrikanth S. Narayanan. Bark Frequency Transform Using an Arbitrary Order Allpass Filter. IEEE Signal Processing Letters, 17(6):543–546, June 2010.
details doi pdf - Prasanta Kumar Ghosh, Andreas Tsiartas, Panayiotis Georgiou, and Shrikanth S. Narayanan. Robust voice activity detection in stereo recording with crosstalk. In Proceedings of InterSpeech, Makuhari, Japan, sep 2010.
details pdf - Prasanta Kumar Ghosh and Shrikanth S. Narayanan. Analysis of inter-articulator correlation in acoustic-to-articulatory inversion using generalized smoothness criterion. In Proceedings of Interspeech, Florence, Italy, aug 2011.
details doi pdf - Prasanta Kumar Ghosh and Shrikanth S. Narayanan. A subject-independent acoustic-to-articulatory inversion. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), may 2011.
details doi pdf - Prasanta Kumar Ghosh, Louis Goldstein, and Shrikanth S. Narayanan. Auditory-like filterbank: An optimal speech processor for efficient human speech communication. Springer Proceedings of Indian Academy of Sciences (Sadhana), 36(5):699–712, oct 2011.
details doi pdf - Prasanta Kumar Ghosh and Shrikanth S. Narayanan. Automatic Speech recognition using articulatory features from subject-independent acoustic-to-articulatory inversion. J. Acoust. Soc. Am. Express Letters, 130(4):EL251–El257, sep 2011.
details doi pdf - Prasanta Kumar Ghosh and Shrikanth S. Narayanan. Information theoretic analysis of direct and estimated articulatory features for phonetic discrimination. In Proc. International Seminar on Speech Production (ISSP'11), jun 2011.
details pdf - Prasanta Kumar Ghosh and Shrikanth S. Narayanan. Joint source-filter optimization for robust glottal source estimation in the presence of shimmer and jitter. Speech Communication, 53(1):98–109, jan 2011.
details doi pdf - Prasanta Kumar Ghosh, Louis Goldstein, and Shrikanth S. Narayanan. Processing speech signal using auditory-like filterbank provides least uncertainty about articulatory gestures. Journal of the Acoustical Society of America, 129(6):4014–4022, jun 2011.
details doi pdf - Prasanta Kumar Ghosh, Andreas Tsiartas, and Shrikanth S. Narayanan. Robust voice activity detection using long-term signal variability. IEEE Transactions on Audio, Speech and Language Processing, 19(3):600–613, 2011.
details doi pdf - Prasanta Kumar Ghosh and Shrikanth S. Narayanan. Information Theoretic Acoustic Feature Selection for Acoustic-to-Articulatory Inversion. In Proceedings of InterSpeech, pp. 3177–3181, August 2013.
details pdf - Prasanta Kumar Ghosh and Shrikanth S. Narayanan. On smoothing articulatory trajectories obtained from Gaussian Mixture Model based acoustic-to-articulatory inversion. J. Acoust. Soc. Am. Express Letters, 134(2):EL258–EL264, aug 2013.
details doi pdf - Prasanta Kumar Ghosh, Antonio Ortega, and Shrikanth S. Narayanan. Pitch period estimation using multipulse model and wavelet transform. In Proceedings of InterSpeech, pp. 2761–2764, Antwerp, Belgium, aug 2007.
details pdf
Gibson
- James Gibson, Athanasios Katsamanis, Matthew P. Black, and Shrikanth S. Narayanan. Automatic Identification of Salient Acoustic Instances in Couples' Behavioral Interactions using Diverse Density Support Vector Machines. In Proceedings of Interspeech, Florence, Italy, aug 2011.
details pdf - James Gibson, Bo Xiao, Panayiotis Georgiou, and Shrikanth S. Narayanan. An Audio-Visual Approach To Learning Salient Behaviors In Couples’ Problem Solving Discussions. In Proceedings of the IEEE International Conference on Multimedia & Expo (ICME), jul 2013.
details doi pdf - James Gibson, Maarten Van Segbroeck, Antonio Ortega, Panayiotis Georgiou, and Shrikanth S. Narayanan. Spectro-Temporal Directional Derivative Features for Automatic Speech Recognition. In Proceedings of InterSpeech, aug 2013.
details doi pdf - James Gibson, Maarten Van Segbroeck, and Shrikanth Narayanan. Comparing Time-Frequency Representations for Directional Derivative Features. In Proceedings of Interspeech, sep 2014.
details pdf - James Gibson and Shrikanth Narayanan. Learning Multiple Concepts with Incremental Diverse Density. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), may 2014.
details doi pdf - James Gibson, Nikolaos Malandrakis, Francisco Romero, David Atkins, and Shrikanth S. Narayanan. Predicting Therapist Empathy in Motivational Interviews using Language Features Inspired by Psycholinguistic Norms. In Proceedings of Interspeech, sep 2015.
details doi pdf - James Gibson, Dogan Can, Bo Xiao, Zac E. Imel, David C. Atkins, Panayiotis Georgiou, and Shrikanth S. Narayanan. A Deep Learning Approach to Modeling Empathy in Addiction Counseling. In Proceedings of Interspeech, sep 2016.
details doi pdf - James Gibson, Geoff Gray, Tad Hirsch, Zac E. Imel, Shrikanth S. Narayanan, and David C. Atkins. Developing an Automated Report Card for Addiction Counseling: The Counselor Observer Ratings Expert for MI (CORE-MI). In Proceedings of CHI 2016 Computing and Mental Health Workshop, May 2016.
details - James Gibson, Athanasios Katsamanis, Francisco Romero, Bo Xiao, Panayiotis Georgiou, and Shrikanth S. Narayanan. Multiple Instance Learning for Behavioral Coding. IEEE Transactions on Affective Computing, 2016.
details doi pdf - James Gibson, Dogan Can, Panayiotis Georgiou, David Atkins, and Shrikanth Narayanan. Attention Networks for Modeling Behavior in Addiction Counseling. In Proceedings of Interspeech, August 2017.
details - James Gibson, David Atkins, Torrey Creed, Zac Imel, Panayiotis Georgiou, and Shrikanth Narayanan. Multi-label Multi-task Deep Learning for Behavioral Coding. IEEE Transactions on Affective Computing, 13(1):508–518, 2022.
details doi pdf
Girault
- Benjamin Girault, Paulo Gonçalves, Shrikanth S. Narayanan, and Antonio Ortega. LOCALIZATION BOUNDS FOR THE GRAPH TRANSLATION. In IEEE Global Conference on Signal and Information Processing (GlobalSIP), dec 2016.
details doi pdf - Benjamin Girault, Shrikanth S. Narayanan, Antonio Ortega, Paulo Gonçalves, and Eric Fleury. GRASP: A Matlab Toolbox for Graph Signal Processing. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), mar 2017.
details doi pdf - Benjamin Girault, Shrikanth S. Narayanan, and Antonio Ortega. Local stationarity of graph signals: insights and experiments. In Proceedings of SPIE Wavelets and Sparsity XVII, aug 2017.
details doi pdf - Benjamin Girault, Shrikanth S. Narayanan, and Antonio Ortega. TOWARDS A DEFINITION OF LOCAL STATIONARITY FOR GRAPH SIGNALS. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), mar 2017.
details doi pdf - Benjamin Girault, Antonio Ortega, and Shrikanth Narayanan. Irregularity-Aware Graph Fourier Transforms. IEEE Transactions on Signal Processing, 66(4):5746–5761, November 2017.
details doi pdf - Benjamin Girault, Antonio Ortega, and Shrikanth Narayanan. Graph vertex sampling with arbitary graph signal hilbert spaces. In Proceedings of ICASSP, May 2020.
details doi pdf
Golazizian
- Preni Golazizian, Elnaz Rahmati, Jackson Trager, Zhivar Sourati, Nona Ghazizadeh, Georgios Chochlakis, Jose J. Alcocer, Kerby Bennett, Aarya Vijay Devnani, Parsa Hejabi, Harry G. Muttram, Akshay Kiran Padte, Mehrshad Saadatinia, Chenhao Wu, Alireza Salkhordeh Ziabari, Michael Sierra-Arévalo, Nicholas Weller, Shrikanth Narayanan, Benjamin A.t. Graham, and Morteza Dehghani. The Subjectivity of Respect in Police Traffic Stops: Modeling Community Perspectives in Body-Worn Camera Footage. In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 33939–33961, Association for Computational Linguistics, San Diego, California, United States, July 2026.
details HTML
Goldberg
- Simon B. Goldberg, Nikolaos Flemotomos, Victor R. Martinez, Michael Tanana, Patty Kuo, Brian T. Pace, Jennifer L. Villatte, Panayiotis Georgiou, Jake Van Epps, Zac E. Imel, Shrikanth Narayanan, and David C. Atkins. Machine learning and natural language processing in psychotherapy research: Alliance as example use case. Journal of Counseling Psychology, 2019.
details
Goyal
- Ankit Goyal, Naveen Kumar, Tanaya Guha, and Shrikanth S. Narayanan. A MULTIMODAL MIXTURE-OF-EXPERTS MODEL FOR DYNAMIC EMOTION PREDICTION IN MOVIES. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), mar 2016.
details doi pdf
Greer
- Timothy Greer, Xuan Shi, Benjamin Ma, and Shrikanth Narayanan. Creating musical features using multi-faceted, multi-task encoders based on transformers. Scientific reports, 13(10713):1–14, Nature Publishing Group, 2023.
details doi pdf - Timothy Greer and Shrikanth Narayanan. Harmonize This Melody: Automatic Four-Part Harmony Generation Using Neo-Riemannian Voice-Leading. International Symposium on Music Information Retrieval, 2021.
details pdf - Timothy Greer, Karan Singla, Benjamin Ma, and Shrikanth Narayanan. Learning Shared Vector Representations of Lyrics and Chords in Music. In Proceedings of ICASSP, May 2019.
details doi pdf - Timothy Greer, Matthew Sachs, Benjamin Ma, Assal Habibi, and Shrikanth Narayanan. Multimodal View into Music's Effect on Human Neural, Physiological, and Emotional Experience. In Proceedings of 27th ACM International Conference on Multimedia (ACM MM 2019), October 2019.
details doi pdf - Timothy Greer and Shrikanth Narayanan. Using Shared Vector Representations of Words and Chords in Music for Genre Classification. In Proceedings of SMM19, Workshop on Speech, Music and Mind 2019, September 2019.
details doi pdf - Timothy Greer, Karel Mundnich, Matthew Sachs, and Shrikanth Narayanan. The Role of Annotation Fusion Methods in the Study of Human-Reported Emotion Experience During Music Listening. In Proceedings of ICASSP, May 2020.
details pdf
Grimm
- Michael Grimm, Kristian Kroschel, Emily Mower, and Shrikanth S. Narayanan. Primitives-based evaluation and estimations of emotions in speech. Speech Communication, 49(10-11):787–800, nov 2007.
details doi pdf - Michael Grimm, Kristian Kroschel, and Shrikanth S. Narayanan. Speaker and listener variations in emotion assessment. In Proceedings of the German Annual Meeting of Acoustics (DAGA), pp. 335–336, Braunschweig, Germany, mar 2006.
details pdf - Michael Grimm, Kristian Kroschel, and Shrikanth S. Narayanan. Modeling Emotion Expression and Perception Behavior in Auditive Emotion Evaluation. In Proceedings of the International Conference on Speech Prosody, pp. 9–12, Dresden, Germany, May 2006.
details pdf - Michael Grimm, Emily Mower, Kristian Kroschel, and Shrikanth S. Narayanan. Combining categorical and primitives-based emotion recognition. In Proceedings of the European Signal Processing Conference (EUSIPCO), Florence, Italy, sep 2006.
details pdf - Michael Grimm, Kristian Kroschel, and Shrikanth S. Narayanan. Support vector regression for automatic recognition of spontaneous emotions in speech. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 1085–1088, Honolulu, Hawaii, apr 2007.
details doi pdf - Michael Grimm, Kristian Kroschel, and Shrikanth S. Narayanan. The Vera am Mittag German audio-visual emotional speech database. In Proceedings of the IEEE International Conference on Multimedia and Expo (ICME), pp. 865–868, Hannover, Germany, jun 2008.
details doi pdf
Grunwald
- Tiffany Grunwald, Dick Clark, Scott Fisher, Margaret McLaughlin, Shrikanth S. Narayanan, and Diane Piepol. Using Cognitive Task Analysis to Facilitate Collaboration in Development of Simulator to Accelerate Surgical Training. In Proceedings of the Annual Medicine Meets Virtual Reality (MMVR) Conference, pp. 114–120, New Port Beach, CA, January 2004.
details pdf
Guha
- Tanaya Guha, Naveen Kumar, Stacy Smith, and Shrikanth S. Narayanan. COMPUTATIONALLY DECONSTRUCTING MOVIE NARRATIVES: AN INFORMATICS APPROACH. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), apr 2015.
details doi pdf - Tanaya Guha, Che Wei Huang, Naveen Kumar, Yan Zhu, and Shrikanth S. Narayanan. Gender Representation in Cinematic Content: A Multimodal Approach. In Proceedings of 17th ACM International Conference on Multimodal Interaction (ICMI), nov 2015.
details doi pdf - Tanaya Guha, Zhaojun Yang, Anil Ramakrishna, Ruth Grossman, Darren Hedley, Sungbok Lee, and Shrikanth S. Narayanan. ON QUANTIFYING FACIAL EXPRESSION-RELATED ATYPICALITY OF CHILDREN WITH AUTISM SPECTRUM DISORDER. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), apr 2015.
details doi pdf - Tanaya Guha, Zhaojun Yang, Ruth Grossman, and Shrikanth S. Narayanan. A Computational Study of Expressive Facial Dynamics in Children with Autism. IEEE Transactions on Affective Computing, 9(1):14–20, 2016.
details doi pdf
Gupta
- Rahul Gupta, Chi-Chun Lee, Daniel Bone, Agata Rozga, Sungbok Lee, and Shrikanth S. Narayanan. Acoustical analysis of engagement behavior in children. In Proceedings of Workshop on Child, Computer and Interaction (WOCCI 2012), sep 2012.
details pdf - Rahul Gupta, Chi-Chun Lee, and Shrikanth S. Narayanan. Classification of emotional content of sighs in dyadic human interactions. In Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP), mar 2012.
details doi pdf - Rahul Gupta, Chi-Chun Lee, Sungbok Lee, and Shrikanth Narayanan. ASSESSMENT OF A CHILD’S ENGAGEMENT USING SEQUENCE MODEL BASED FEATURES. Workshop on Affective social speech signals, Grenoble, 2013.
details pdf - Rahul Gupta, Kartik Audhkhasi, Sungbok Lee, and Shrikanth S. Narayanan. Speech paralinguistic event detection using probabilistic time-series smoothing and masking. In Proceedings of InterSpeech, aug 2013.
details pdf - Rahul Gupta, Kartik Audhkhasi, and Shrikanth Narayanan. Training ensemble of diverse classifiers on feature subsets. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), may 2014.
details doi pdf - Rahul Gupta, Nikolaos Malandrakis, Bo Xiao, Tanaya Guha, Maarten Van Segbroeck, Matthew P. Black, Alexandros Potamianos, and Shrikanth Narayanan. Multimodal prediction of affective dimensions and depression in human-computer interactions. In 4th International Workshop on Audio/Visual Emotion Challenge, pp. 33–40, ACM, 2014.
details doi pdf - Rahul Gupta, Panayiotis Georgiou, David Atkins, and Shrikanth Narayanan. Predicting Client’s inclination towards Target Behavior Change in Motivational Interviewing and investigating the role of laughter. In Proceedings of Interspeech, sep 2014.
details pdf - Rahul Gupta, Sankaranarayanan Ananthakrishnan, Zhaojun Yang, and Shrikanth Narayanan. Variable Span Disfluency Detection in ASR Transcripts. In Proceedings of Interspeech, sep 2014.
details pdf - Rahul Gupta, Naveen Kumar, and Shrikanth S. Narayanan. Affect Prediction in Music using Boosted Ensemble of Filters. In Proceedings of 2015 European Signal Processing Conference (EUSIPCO 2015), sep 2015.
details doi pdf - Rahul Gupta, Kartik Audhkhasi, and Shrikanth S. Narayanan. A Mixture of Experts Approach Towards Intelligibility Classification of Pathological Speech. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), pp. 1986–1990, April 2015.
details doi pdf - Rahul Gupta, Theodora Chaspari, Panayiotis Georgiou, David Atkins, and Shrikanth S. Narayanan. Analysis and Modeling of the Role of Laughter in Motivational Interviewing Based Psychotherapy Conversations. In Proceedings of Interspeech, pp. 1962–1966, September 2015.
details pdf - Rahul Gupta, Daniel Bone, Sungbok Lee, and Shrikanth S. Narayanan. Analysis of engagement behavior in children during dyadic interactions using prosodic cues. Computer, Speech, and Language, 37(47–66), 2016.
details doi pdf - Rahul Gupta, Kartik Audhkhasi, Sungbok Lee, and Shrikanth S. Narayanan. Detecting paralinguistic events in audio stream using context in features and probabilistic decisions. Computer, Speech, and Language, 36:72–92, mar 2016.
details doi pdf - Rahul Gupta, Nishant Nath, Taruna Agrawal, Panayiotis Georgiou, David C. Atkins, and Shrikanth S. Narayanan. Laughter Valence Prediction in Motivational Interviewing Based on Lexical and Acoustic Cues. In Proceedings of Interspeech, 2016.
details pdf - Rahul Gupta, Kartik Audhkhasi, Zach Jacokes, Agata Rozga, and Shrikanth S. Narayanan. Modeling Multiple Time Series Annotations Based on Ground Truth Inference and Distortion. IEEE Transactions on Affective Computing, 9(1):76–89, 2018.
details doi pdf - Rahul Gupta, Theodora Chaspari, Jangwon Kim, Naveen Kumar, Daniel Bone, and Shrikanth S. Narayanan. PATHOLOGICAL SPEECH PROCESSING: STATE-OF-THE-ART, CURRENT CHALLENGES, AND FUTURE DIRECTIONS. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), mar 2016.
details doi pdf - Rahul Gupta and Shrikanth S. Narayanan. Predicting Affective Dimensions Based on Self Assessed Depression Severity. In Proceedings of Interspeech, 2016.
details doi pdf - Rahul Gupta, Saurabh Sahu, Carol Espy-Wilson, and Shrikanth Narayanan. An Affect Prediction Approach through Depression Severity Parameter Incorporation in Neural Networks. In Proceedings of Interspeech, August 2017.
details - Rahul Gupta, Saurabh Sahu, Carol Espy Wilson, and Shrikanth Narayanan. Semi-supervised and Transfer learning approaches for low resource sentiment classification. In Proceedings of ICASSP, April 2018.
details
Gurunath
- Prashanth Gurunath Shivakumar, Alexandros Potamianos, Sungbok Lee, and Shrikanth Narayanan. Improving Speech Recognition for Children using Acoustic Adaptation and Pronunciation Modeling. In Proceedings of Workshop on Child, Computer and Interaction (WOCCI 2014), sep 2014.
details pdf - Prashanth Gurunath Shivakumar, Ming Li, Vedant Dhandhania, and Shrikanth Narayanan. Simplified and Supervised i-vector Modeling for Speaker Age Regression. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), may 2014.
details doi pdf
Hadjiantonis
- George Hadjiantonis, Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon Booth, Shrikanth Narayanan, and Theodora Chaspari. Dynamical systems modeling of day-to-day signal-based patterns of emotional self-regulation and stress spillover in highly-demanding health professions. In In proceedings of 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2020), July 2020.
details pdf
Hagedorn
- Christina Hagedorn, Yijing Lu, Asterios Toutios, Uttam Sinha, Louis Goldstein, and Shrikanth S Narayanan. Variation in compensatory strategies as a function of target constriction degree in post-glossectomy speech. JASA Express Letters, 2(4):045205, 2022.
details doi pdf - Christina Hagedorn, Jangwon Kim, Uttam Sinha, Louis Goldstein, and Shrikanth S Narayanan. Complexity of vocal tract shaping in glossectomy patients and typical speakers: A principal component analysis. The Journal of the Acoustical Society of America, 149(6):4437–4449, Acoustical Society of America, 2021.
details doi pdf - Christina Hagedorn, Michael I. Proctor, Louis Goldstein, and Shrikanth S. Narayanan. Automatic Analysis of Geminate Consonant Articulation using Real-time Magnetic Resonance Imaging. In Proc. 9th Intl. Seminar on Speech Production (ISSP'11), Montreal, Canada, jun 2011.
details doi pdf - Christina Hagedorn, Michael I. Proctor, and Louis Goldstein. Automatic Analysis of Singleton and Geminate Consonant Articulation using Real-time Magnetic Resonance Imaging. In Proceedings of Interspeech, Florence, Italy, 2011, 2011.
details pdf - Christina Hagedorn, Michael I. Proctor, Louis Goldstein, Maria Luisa Gorno Tempini, and Shrikanth S. Narayanan. Characterizing Covert Articulation in Apraxic Speech Using real-time MRI. In Proceedings of InterSpeech, sep 2012.
details doi pdf - Christina Hagedorn, Michael I. Proctor, Louis Goldstein, Stephen M. Wilson, Bruce Miller, Maria Luisa Gorno Tempini, and Shrikanth S. Narayanan. Characterizing Articulation in Apraxic Speech Using Real-time Magnetic Resonance Imaging. Journal of Speech, Language, and Hearing Research, 60(4):877–891, apr 2017.
details doi pdf - Christina Hagedorn, Tanner Sorensen, Adam Lammert, Asterios Toutios, Louis Goldstein, Dani Byrd, and Shrikanth Narayanan. Engineering Innovation in Speech Science: Data and Technologies. SIG 19 Speech Science Perspectives of ASHA, 4(2):411–420, apr 2019.
details doi pdf
Han
- Kyu Jeong Han and Shrikanth S. Narayanan. Improved Speaker Diarization of Meeting Speech With Recurrent Selection of Representative Speech Segments and Participant Interaction Pattern Modeling. In Proceedings of InterSpeech, pp. 1067–1070, Brighton, UK, September 2009.
details pdf - Kyu Jeong Han, Samuel Kim, and Shrikanth S. Narayanan. Strategies to improve the robustness of agglomerative hierarchical clustering under data source variation for speaker diarization. IEEE Transactions on Audio, Speech, and Language Processing, 16(8):1590–1601, nov 2008.
details doi pdf - Kyu Jeong Han and Shrikanth S. Narayanan. An Improved Cluster Model Selection Method for Agglomerative Hierarchical Speaker Clustering using Incremental Gaussian Mixture Models. In Proceedings of InterSpeech, Makuhari, Japan, sep 2010.
details pdf - Kyu Jeong Han, Sriram Ganapathy, Ming Li, Mohamed K. Omar, and Shrikanth S. Narayanan. TRAP Language Identification System for RATS Phase II Evaluation. In Proceedings of InterSpeech, pp. 1502–1506, August 2013.
details pdf - Sohyun C. Han, Hannah L. Schacter, Adela C. Timmons, Yehsong Kim, Stassja Sichko, Corey Pettit, Theodora Chaspari, Shrikanth Narayanan, and Gayla Margolin. Romantic partner presence and physiological responses in daily life: Attachment style as a moderator. Biological Psychology, 161:108082, 2021.
details doi pdf - Kyu Jeong Han and Shrikanth S. Narayanan. Signature cluster model selection for incremental Gaussian mixture cluster modeling in agglomerative hierarchical speaker clustering. In Proceedings of InterSpeech, Brighton, UK, sep 2009.
details pdf - Kyu Jeong Han and Shrikanth S. Narayanan. Agglomerative hierarchical speaker clustering using incremental Gaussian mixture cluster modeling. In Proceedings of InterSpeech, pp. 20–23, Brisbane, Australia, sep 2008.
details pdf - Kyu Jeong Han and Shrikanth S. Narayanan. A novel inter-cluster distance measure combining GLR and ICR for improved agglomerative hierarchical speaker clustering. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 4373–4376, Las Vegas, Nevada, apr 2008.
details doi pdf - Kyu Jeong Han, Samuel Kim, and Shrikanth S. Narayanan. Robust Speaker Clustering Strategies to Data Source Variation for Improved Speaker Diarization. In Proceedings of the IEEE Automatic Speech Recognition and Understanding (ASRU) Workshop, pp. 262–267, Kyoto, Japan, December 2007.
details doi pdf - Kyu Jeong Han, Panayiotis Georgiou, and Shrikanth S. Narayanan. The SAIL speaker diarization system for analysis of spontaneous meetings. In Proceedings of the International Workshop on Multimedia Signal Processing (MMSP), pp. 966–971, Cairns, Australia, oct 2008.
details doi pdf - Kyu Jeong Han and Shrikanth S. Narayanan. A robust stopping criterion for agglomerative hierarchical clustering in a speaker diarization system. In Proceedings of InterSpeech, pp. 1853–1856, Antwerp, Belgium, aug 2007.
details pdf - Kyu Jeong Han, Naveen Srinivasamurthy, and Shrikanth S. Narayanan. A distributed speech recognition system in multi-user environments. In Proceedings of InterSpeech, pp. 2121–2124, Jeju Island, Korea, oct 2004.
details pdf - Kyu Jeong Han, Naveen Srinivasamurthy, and Shrikanth S. Narayanan. Robust speech recognition over packet networks: An overview. In Proceedings of InterSpeech, pp. 621–624, Jeju Island, Korea, oct 2004.
details pdf
Harper
- Sarah Harper, Louis Goldstein, and Shrikanth S. Narayanan. L2 Acquisition and Production of the English Rhotic Pharyngeal Gesture. In Proceedings of Interspeech, pp. 208–212, 2016.
details pdf - Sarah Harper, Louis Goldstein, and Shrikanth Narayanan. Variability in individual constriction contributions to third formant values in American English /ɹ/. J. Acoust. Soc. Am., 147(6):3905–3916, june 2020.
details doi pdf
Hebbar
- Rajat Hebbar, Digbalay Bose, and Shrikanth Narayanan. SEAR: Semantically-Grounded Audio Representations. In Proceedings of the 31st ACM International Conference on Multimedia, pp. 2785–2794, MM 23, Association for Computing Machinery, New York, NY, USA, 2023.
details doi pdf - Rajat Hebbar, Arindam Jati, Tiantian Feng, Ramon Reyes, Alexander F Danvers, Matthias R Mehl, and Shrikanth S Narayanan. Behavioral Audio Signal Processing in Mobile Sensing Research. Mobile Sensing in Psychology, pp. 258, Guilford Publications, 2023.
details - Rajat Hebbar, Digbalay Bose, Krishna Somandepalli, Veena Vijai, and Shrikanth Narayanan. A dataset for Audio-Visual Sound Event Detection in Movies. In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1–5, , 2023.
details doi pdf - Rajat Hebbar, Krishna Somandepalli, Raghuveer Peri, Ruchir Travadi, Tracy Tuplin, Fernando Rivera, and Shrikanth Narayanan. A Computational Tool to Study Vocal Participation of Women in UN-ITU Meetings. In 2021 International Conference on Content-Based Multimedia Indexing (CBMI), pp. 1–4, , 2021.
details doi pdf - Rajat Hebbar, Krishna Somandepalli, and Shrikanth S. Narayanan. Improving Gender Identification in Movie Audio using Cross-Domain Data. In Proceedings of InterSpeech, Hyderabad, India, sep 2018.
details pdf - Rajat Hebbar, Krishna Somandepalli, and Shrikanth Narayanan. Robust Speech Activity Detection in Movie Audio: Data Resources and Experimental Evaluation. In Proceedings of ICASSP, May 2019.
details - Ashwin Hebbar, Rahul Sharma, Krishna Somandepalli, Asterios Toutios, and Shrikanth Narayanan. Vocal tract articulatory contour detection in real time magnetic resonance images using spatio temporal context. In Proceedings of ICASSP, May 2020.
details pdf - Rajat Hebbar, Pavlos Papadopoulos, Ramon Reyes, Alexander F. Danvers, Angelina J. Polsinelli, Suzanne A. Moseley, David A. Sbarra, Matthias R. Mehl, and Shrikanth Narayanan. Deep multiple instance learning for foreground speech localization in ambient audio from wearable devices. EURASIP Journal on Audio, Speech, and Music Processing, pp. , 2021.
details doi pdf
Hirsch
- Tad Hirsch, Kritzia Merced, Shrikanth Narayanan, Zac E. Imel, and David C. Atkins. Designing Contestability: Interaction Design, Machine Learning, and Mental Health. In Proceedings of the 2017 Conference on Designing Interactive Systems, pp. 95–99, DIS '17, ACM, New York, NY, USA, June 2017.
details doi pdf
Hosseinmardi
- Homa Hosseinmardi, Amir Ghasemian, Kristina Lerman, Shrikanth Narayanan, and Emilio Ferrara. Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and Prediction. In 11th IEEE International Conference on Healthcare Informatics, ICHI 2023, Houston, TX, USA, June 26-29, 2023, pp. 91–100, IEEE, 2023.
details doi HTML
Hsieh
- Fang-Ying Hsieh, Louis Goldstein, Dani Byrd, and Shrikanth S. Narayanan. Truncation of Pharyngeal Gesture in English Diphthong [aI]. In Proceedings of InterSpeech, aug 2013.
details doi pdf
Huang
- Kevin Huang, Sean Foley, Jihwan Lee, Yoonjeong Lee, Dani Byrd, and Shrikanth Narayanan. On the Relationship between Accent Strength and Articulatory Features. In Interspeech 2025, pp. 4538–4542 [BEST STUDENT PAPER AWARD], 2025.
details doi HTML - Kevin Huang, Jack Goldberg, Louis Goldstein, and Shrikanth Narayanan. Analysis of articulatory setting for L1 and L2 English speakers using MRI data. In Interspeech 2024, pp. 1020–1024 [ISCA BEST STUDENT PAPER AWARD], 2024.
details doi - Che Wei Huang, Bo Xiao, Panayiotis Georgiou, and Shrikanth Narayanan. Unsupervised Speaker Diarization Using Riemannian Manifold Clustering. In Proceedings of Interspeech, sep 2014.
details pdf - Che Wei Huang and Shrikanth S. Narayanan. Attention Assisted Discovery of Sub-Utterance Structure in Speech Emotion Recognition. In Proceedings of Interspeech, 2016.
details doi pdf - Che Wei Huang and Shrikanth S. Narayanan. Comparison of Feature-level and Kernel-level Data Fusion Methods in Multi-Sensory Fall Detection. In Proceedings of IEEE Workshop on Multimedia Signal Processing, pp. 1–6, 2016.
details doi pdf - Che Wei Huang and Shrikanth S. Narayanan. Flow Of Renyi Information In Deep Neural Networks. In IEEE International Workshop of Machine Learning for Signal Processing, 2016.
details doi pdf - Che-Wei Huang and Shrikanth Narayanan. Characterizing Types of Convolution in Deep Convolutional Recurrent Neural Networks for Robust Speech Emotion Recognition. In Proceedings of the IEEE International Conference on Multimedia & Expo, 2017.
details pdf - Che Wei Huang and Shrikanth S. Narayanan. Deep Convolutional Recurrent Neural Network with Attention Mechanism for Robust Speech Emotion Recognition. In Proceedings of the IEEE International Conference on Multimedia & Expo (ICME), jul 2017.
details - Che-Wei Huang and Shrikanth Narayanan. Characterizing Types of Convolution in Deep Convolutional Recurrent Neural Networks for Robust Speech Emotion Recognition. IEEE Transactions on Affective Computing, 2018.
details - Che-Wei Huang and Shrikanth Narayanan. SHAKING ACOUSTIC SPECTRAL SUB-BANDS CAN BETTER REGULARIZE LEARNING IN AFFECTIVE COMPUTING. In Proceedings of ICASSP, April 2018.
details - Che-Wei Huang and Shrikanth S. Narayanan. Stochastic Shake-Shake Regularization for Affective Learning from Speech. In Proceedings of InterSpeech, Hyderabad, India, sep 2018.
details pdf - Che-Wei Huang and Shrikanth Narayanan. On Role and Location of Normalization Before Model-based Data Augmentation in Residual Blocks for Classification Tasks. In Proceedings of ICASSP, May 2019.
details
Imel
- Zac Imel, Brian Pace, Christina Soma, Michael Tanana, Tad Hirsch, James Gibson, Panayiotis Georgiou, Shrikanth Narayanan, and David Atkins. Design and pilot feasibility of an automated, machine learning feedback system for Motivational Interviewing Psychotherapy. Pyschotherapy, 2019.
details
Israel
- Assaf Israel, Michael I. Proctor, Louis Goldstein, Khalil Iskarous, and Shrikanth S. Narayanan. Emphatic segments and emphasis spread in Lebanese Arabic: a Real-time Magnetic Resonance Imaging Study. In Proceedings of InterSpeech, sep 2012.
details pdf
Jati
- Arindam Jati, Raghuveer Peri, Monisankha Pal, Tae Jin Park, Naveen Kumar, Ruchir Travadi, Panayiotis Georgiou, and Shrikanth Narayanan. Multi-task Discriminative Training of Hybrid DNN-TVM Model for Speaker Verification with Noisy and Far-Field Speech. In In proceedings of Proceedings of Interspeech, September 2019.
details - Arindam Jati, Chin-Cheng Hsu, Monisankha Pal, Raghuveer Peri, Wael AbdAlmageed, and Shrikanth Narayanan. Adversarial attack and defense strategies for deep speaker recognition systems. Computer Speech & Language, 68:101199, 2021.
details doi pdf - Arindam Jati, Amrutha Nadarajan, Raghuveer Peri, Karel Mundnich, Tiantian Feng, Benjamin Girault, and Shrikanth Narayanan. Temporal Dynamics of Workplace Acoustic Scenes: Egocentric Analysis and Prediction. IEEE/ACM Transactions on Audio, Speech and Language Processing, 2021.
details doi pdf
Jeong
- Woojae Jeong, Aditya Kommineni, Kleanthis Avramidis, Colin McDaniel, Donald Berry, Myzelle Hughes, Thomas McGee, Elsi Kaiser, Dani Byrd, Assal Habibi, B. Rael Cahn, Idan A. Blank, Kristina Lerman, Dimitrios Pantazis, Sudarsana R. Kadiri, Takfarinas Medani, Shrikanth Narayanan, and Richard M. Leahy. Time-resolved EEG decoding reveals altered neural dynamics of affective semantic evaluation in depression and suicidality. Communications Biology, Nature Publishing Group UK London, Apr 2026.
details doi HTML
Johnson
- Lewis Johnson, Shrikanth S. Narayanan, Richard Whitney, Rajat Das, and Catharine LaBore. Limited domain synthesis of expressive military speech for animated characters. In Proceedings of the IEEE Speech Synthesis Workshop, Santa Monica, CA, sep 2002.
details doi pdf - W. Lewis Johnson, Carole Beal, Anna Fowles-Winkler, Ursula Lauper, Stacy Marsella, Shrikanth S. Narayanan, Dimitra Papachristou, and Hannes Vilhjalmsson. Tactical language training system: An interim report. In Proceedings of the Conference on Intelligent Tutoring Systems (ITS), pp. 336–345, Berlin, Germany, jun 2004.
details doi pdf - W. Lewis Johnson, Stacy Marsella, Nicolaus Mote, Hannes Vilhjalmsson, Shrikanth S. Narayanan, and Sunhee Choi. Tactical language training system: Supporting the rapid acquisition of foreign language and cultural skills. In Proceedings of the InSTIL/ICALL Symposium, Venice, Italy, jul 2004.
details pdf
Jung
- Chi-Sang Jung, Kyu Jeong Han, Hyunson Seo, Shrikanth S. Narayanan, and Hong-Goo Kang. A variable frame length and rate algorithm based on the spectral kurtosis measure for speaker verification. In Proceedings of InterSpeech, Makuhari, Japan, sep 2010.
details pdf
Justus
- Aju Ani Justus, Ruchit Agrawal, Sudarsana Reddy Kadiri, and Shrikanth Narayanan. VOICE2MODE: Phonation Mode Classification in Singing Using Self-Supervised Speech Models. In ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 22072–22076, , May 2026.
details doi HTML
Kaat
- Aaron J Kaat, Audrey Thurm, Cristan Farmer, Shuting Zheng, Sheila Ghods, Stelios Georgiades, Stephen Kanne, Shrikanth Narayanan, and Somer L Bishop. The Developmental Assessment of Social Communication Ability (DASCA): initial creation and psychometric description. Molecular Autism, 16(1):52, Springer, 2025.
details
Kadiri
- Sudarsana Reddy Kadiri, Kevin Huang, Christina Hagedorn, Dani Byrd, Paavo Alku, and Shrikanth Narayanan. Formant Tracking by Combining Deep Neural Network and Linear Prediction. IEEE Open Journal of Signal Processing, 6():222–230, 2025.
details doi pdf
Kalinli
- Ozlem Kalinli, Shiva Sundaram, and Shrikanth S. Narayanan. Saliency-driven unstructured acoustic scene classification using latent perceptual indexing. In Proceedings of the IEEE International Workshop on Multimedia Signal Processing (MMSP), Rio de Janeiro, Brazil, oct 2009.
details doi pdf - Ozlem Kalinli and Shrikanth S. Narayanan. Continuous speech recognition using attention shift decoding with soft decision. In Proceedings of InterSpeech, Brighton, UK, sep 2009.
details pdf - Ozlem Kalinli and Shrikanth S. Narayanan. Prominence detection using auditory attention cues and task-dependent high level information. IEEE Transactions on Audio, Speech, and Language Processing, 17(5):1009–1024, jul 2009.
details doi pdf - Ozlem Kalinli and Shrikanth S. Narayanan. Early Auditory Processing Inspired Features for Robust Automatic Speech Recognition. In Proceedings of European Signal Processing Conference (EUSIPCO), pp. 2385–2389, Poznan, Poland, September 2007.
details pdf - Ozlem Kalinli and Shrikanth S. Narayanan. A saliency-based auditory attention model with applications to unsupervised prominent syllable detection in speech. In Proceedings of InterSpeech, pp. 1941–1944, Antwerp, Belgium, aug 2007.
details pdf - Ozlem Kalinli and Shrikanth S. Narayanan. A top-down auditory attention model for learning task dependent influences on prominence detection in speech. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 3981–3984, Las Vegas, Nevada, apr 2008.
details doi pdf - Ozlem Kalinli and Shrikanth S. Narayanan. Combining task-dependent information with auditory attention cues for prominence detection in speech. In Proceedings of InterSpeech, pp. 1064–1067, Brisbane, Australia, sep 2008.
details doi pdf
Kamm
- Candace Kamm, Shrikanth S. Narayanan, Dawn Dutton, and Russell Ritenour. Evaluating Spoken Dialog Systems for Telecommunication Services. In Proceedings of InterSpeech, pp. 2203–2206, 4, Rhodes, Greece, September 1997.
details pdf
Kao
- Hsien-Te Kao, Shen Yan, Homa Hosseinmardi, Shrikanth Narayanan, Kristina Lerman, and Emilio Ferrara. User-Based Collaborative Filtering Mobile Health System. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 4(4):1–17, ACM New York, NY, USA, 2020.
details - Jiun-Yu Kao, Antonio Ortega, and Shrikanth Narayanan. Graph-based Approach for Motion Capture Data Representation and Analysis. In Proceedings of IEEE International Conference on Image Processing, oct 2014.
details doi pdf - Hsien-Te Kao, Homa Hosseinmardi, Shen Yan, Michelle Hasan, Shrikanth Narayanan, Kristina Lerman, and Emilio Ferrara. Discovering Latent Psychological Structures from Self-report Assessments of Hospital Workers. In In proceedings of Proceedings of the 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing, November 2018.
details
Kato
- Tsuneo Kato, Sungbok Lee, and Shrikanth S. Narayanan. An analysis of articulatory-acoustic data based on articulatory strokes. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 4493–4496, Taipei, Taiwan, apr 2009.
details doi pdf
Katsamanis
- Athanasios Katsamanis, James Gibson, Matthew P. Black, and Shrikanth S. Narayanan. Multiple Instance Learning for Classification of Human Behavior Observations. In Proceedings of Affective Computing and Intelligent Interaction (ACII), Lecture Notes in Computer Science, oct 2011.
details doi pdf - Athanasios Katsamanis, Matthew P. Black, Panayiotis Georgiou, Louis Goldstein, and Shrikanth S. Narayanan. SailAlign: Robust long speech-text alignment. In Proc. of Workshop on New Tools and Methods for Very-Large Scale Phonetics Research, pp. 28–31, University of Pennsylvania, jan 2011.
details pdf - Athanasios Katsamanis, Erik Bresch, Vikram Ramanarayanan, and Shrikanth S. Narayanan. Validating rt-MRI based articulatory representations via articulatory recognition. In Proceedings of Interspeech, Florence, Italy, aug 2011.
details pdf
Kazemzadeh
- Abe Kazemzadeh, Sungbok Lee, Panayiotis Georgiou, and Shrikanth S. Narayanan. Determining What Questions To Ask, with the Help of Spectral Graph Theory. In Proceedings of Interspeech, Florence, Italy, aug 2011.
details pdf - Abe Kazemzadeh, James Gibson, Panayiotis Georgiou, Sungbok Lee, and Shrikanth S. Narayanan. EMO20Q Questioner Agent. In Proceedings of Affective Computing and Intelligent Interaction (ACII), pp. 313–314, Lecture Notes in Computer Science, Springer, oct 2011.
details doi pdf - Abe Kazemzadeh, Sungbok Lee, Panayiotis Georgiou, and Shrikanth S. Narayanan. Emotion Twenty Questions: Toward a Crowd-Sourced Theory of Emotions. In Proceedings of Affective Computing and Intelligent Interaction (ACII), Lecture Notes in Computer Science, oct 2011.
details doi pdf - Abe Kazemzadeh. Toward a Computational Approach for Natural Language Description of Emotions. In Proceedings of Affective Computing and Intelligent Interaction (ACII), pp. 216–223, Lecture Notes in Computer Science, Springer, October 2011.
details doi pdf - Abe Kazemzadeh, James Gibson, Juanchen Li, Sungbok Lee, Panayiotis Georgiou, and Shrikanth S. Narayanan. A Sequential Bayesian Dialog Agent for Computational Ethnography. In Proceedings of InterSpeech, pp. 238–241, September 2012.
details pdf - Abe Kazemzadeh, Sungbok Lee, and Shrikanth S. Narayanan. Fuzzy Logic Models for the Meaning of Emotion Words. IEEE Computational Intelligence Magazine, 8(2):34–49, May 2013.
details doi pdf - Abe Kazemzadeh, James Gibson, Panayiotis Georgiou, Sungbok Lee, and Shrikanth S. Narayanan. A Socratic Epistemology for Verbal Emotional Intelligence. PeerJ Comput. Sci., 2(e40), jan 2016.
details doi pdf - Abe Kazemzadeh, Sungbok Lee, and Shrikanth S. Narayanan. Using model trees for evaluating dialog error conditions based on acoustic speech Information. In Proceedings of the International Workshop on Human-Centered Multimedia (HCM), Santa Barbara, CA, oct 2006.
details doi pdf - Abe Kazemzadeh, Sungbok Lee, and Shrikanth S. Narayanan. An interval type-2 fuzzy logic system to translate between emotion-related vocabularies. In Proceedings of InterSpeech, pp. 2747–2750, Brisbane, Australia, sep 2008.
details pdf - Abe Kazemzadeh, Hong You, Markus Iseli, Barbara Jones, Xiaodong Cui, Margaret Heritage, Patti Price, Elaine Andersen, Shrikanth S. Narayanan, and Abeer Alwan. TBALL data collection: The making of a young children's speech corpus. In Proceedings of InterSpeech, pp. 1581–1584, Lisbon, Portugal, oct 2005.
details pdf - Abe Kazemzadeh, Sungbok Lee, and Shrikanth S. Narayanan. Acoustic correlates of user response to error in human-computer dialogues. In Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), pp. 215–220, St. Thomas, U.S. Virgin Islands, dec 2003.
details doi pdf - Abe Kazemzadeh, Joseph Tepperman, Jorge Silva, Hong You, Sungbok Lee, Abeer Alwan, and Shrikanth S. Narayanan. Automatic Detection of Voice Onset Time Contrasts for Use in Pronunciation Assessment. In Proceedings of InterSpeech, Pittsburgh, PA, September 2006.
details pdf
Kim
- Young-Kyung Kim, Rimita Lahiri, Md. Nasir, So Hyun Kim, Somer Bishop, Catherine Lord, and Shrikanth S. Narayanan. Analyzing Short Term Dynamic Speech Features for Understanding Behavioral Traits of Children with Autism Spectrum Disorder. In Proc. Interspeech 2021, pp. 2916–2920, 2021.
details doi pdf - Jangwon Kim, Sungbok Lee, and Shrikanth S. Narayanan. An Exploratory Study of the Relations between Perceived Emotion Strength and Articulatory Kinematics. In Proceedings of Interspeech, Florence, Italy, aug 2011.
details pdf - Jangwon Kim, Sungbok Lee, and Shrikanth S. Narayanan. A detailed study of word-position effects on emotion expression in speech. In Proceedings of InterSpeech, Brighton, UK, sep 2009.
details pdf - Yoon-Chul Kim, Shrikanth S. Narayanan, and Krishna S. Nayak. Accelerated 3D upper airway MRI using compressed sensing. Magnetic Resonance in Medicine, 61(6):1434–1440, jun 2009.
details doi pdf - Samuel Kim, Shiva Sundaram, and Shrikanth S. Narayanan. Acoustic topic model for audio information retrieval. In Proceedings of the Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, New York, oct 2009.
details doi pdf - Samuel Kim, Shiva Sundaram, Panayiotis Georgiou, and Shrikanth S. Narayanan. Audio scene understanding using topic models. In Proceedings of the Neural Information Processing Systems (NIPS) Workshop, Whistler, Canada, dec 2009.
details pdf - Samuel Kim, Shiva Sundaram, Panayiotis Georgiou, and Shrikanth S. Narayanan. Acoustic Stopwords for unstructured audio information retrieval. In Proceedings of European Signal Processing Conference (EUSIPCO), 2010.
details pdf - Jangwon Kim, Sungbok Lee, and Shrikanth S. Narayanan. An exploratory study of manifolds of emotional speech. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Dallas, TX, mar 2010.
details doi pdf - Samuel Kim, Shiva Sundaram, and Shrikanth S. Narayanan. An N-gram model for unstructured audio signals toward information retrieval. In Proceedings of Multimedia Signal Processing (MMSP), Saint-Malo, France, oct 2010.
details doi pdf - Jangwon Kim, Sungbok Lee, and Shrikanth S. Narayanan. A Study of Interplay between Articulatory Movement and Prosodic Characteristics in Emotional Speech Production. In Proceedings of InterSpeech, Makuhari, Japan, sep 2010.
details pdf - Yoon Kim, Shrikanth S. Narayanan, and Krishna S. Nayak. Improved Real-time MRI of Oral-Velar Coordination Using a Golden-ratio Spiral View Order. In Proceedings of InterSpeech, sep 2010.
details pdf - Samuel Kim, Panayiotis Georgiou, and Shrikanth S. Narayanan. Supervised acoustic topic model for unstructured audio information retrieval. In Proceedings of Asia Pacific Signal and Information Processing Association (APSIPA) Annual Summit and Conference, dec 2010.
details doi pdf - Samuel Kim, Panayiotis Georgiou, Shrikanth S. Narayanan, and Shiva Sundaram. Using Naive Text Queries for Robust Audio Information Retrieval. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2010.
details pdf - Yoon-Chul Kim, Michael I. Proctor, Shrikanth S. Narayanan, and Krishna Nayak. Visualization of vocal tract shape using interleaved real-time MRI of multiple scan planes. In Proceedings of Interspeech, Florence, Italy, aug 2011.
details pdf - Yoon-Chul Kim, Cecil Hayes, Shrikanth S. Narayanan, and Krishna S. Nayak. A Novel 16-Channel Receive Coil Array for Accelerated Upper Airway MRI at 3 Tesla. Magnetic Resonance in Medicine, 65(6):1711–1717, jun 2011.
details pdf - Jangwon Kim, Sungbok Lee, and Shrikanth S. Narayanan. Detailed Study of Articulatory Kinematics of Critical Articulators and Non‐critical Articulators of Emotional Speech. In Proceedings of the Meeting of the Acoustical Society of America, nov 2011.
details doi pdf - Yoon-Chul Kim, Shrikanth S. Narayanan, and Krishna S. Nayak. Flexible retrospective selection of temporal resolution in real-time speech MRI using a golden-ratio spiral view order. Magnetic Resonance in Medicine, 65(5):1365–1371, may 2011.
details doi pdf - Samuel Kim, Ming Li, Sangwon Lee, Urbashi Mitra, Adar Emken, Donna Spruijt-Metz, Murali Annavaram, and Shrikanth S. Narayanan. Modeling High-Level Descriptions of Real-Life Physical Activities Using Latent Topic Modeling of Multimodal Sensor Signals. In 33rd Annual International IEEE EMBS conferemce (EMBC), aug 2011.
details doi pdf - Yoon-Chul Kim, Michael I. Proctor, Shrikanth S. Narayanan, and Krishna S. Nayak. Time-interleaved Imaging of Arbitrary Scan Planes Applied to Real-time Speech MRI. In Proc. ISMRM 19th Scientific Sessions, pp. 2454, May 2011.
details pdf - Jangwon Kim, Prasanta Kumar Ghosh, Sungbok Lee, and Shrikanth S. Narayanan. A study of emotional information present in articulatory movements estimated using acoustic-to-articulatory inversion. In Proceedings of APSIPA Annual Summit and Conference, dec 2012.
details pdf - Jangwon Kim, Adam Lammert, Michael I. Proctor, and Shrikanth S. Narayanan. Co-registration of articulographic and real-time magnetic resonance imaging data for multimodal analysis of running speech. In Journal of the Meeting of the Acoustical Society of America, oct 2012.
details doi pdf - Yoon-Chul Kim, Michael I. Proctor, Shrikanth S. Narayanan, and Krishna Nayak. Improved Imaging of Lingual Articulation Using Real-Time Multislice MRI. Journal of Magnetic Resonance Imaging, 35(4):943–948, apr 2012.
details doi pdf - Jangwon Kim, Naveen Kumar, Andreas Tsiartas, Ming Li, and Shrikanth S. Narayanan. Intelligibility classification of pathological speech using fusion of multiple high level descriptors. In Proceedings of InterSpeech, sep 2012.
details doi pdf - Samuel Kim, Panayiotis Georgiou, and Shrikanth S. Narayanan. Latent Acoustic Topic Models for Unstructured Audio Classification. APSIPA Transactions on Signal and Information Processing, 1(e6), dec 2012.
details doi pdf - Yoon-Chul Kim, Athanasios Katsamanis, Michael I. Proctor, Shrikanth S. Narayanan, and Krishna S. Nayak. Pseudo golden-ratio spiral imaging with gradient acoustic noise cancellation: application to real-time MRI of fluent speech. In Proc. ISMRM 20th Scientific Sessions, pp. 4209, 2012.
details pdf - Samuel Kim, Panayiotis Georgiou, and Shrikanth S. Narayanan. Supervised Acoustic Topic Model With a Consequent Classifier for Unstructured Audio Classification. In Proceedings of the 10th Workshop on Content-Based Multimedia Indexing (CBMI 2012), pp. 1–6, June 2012.
details doi pdf - Samuel Kim, Panayiotis Georgiou, and Shrikanth S. Narayanan. Annotation And Classification Of Political Advertisements. In Proceedings of InterSpeech, aug 2013.
details pdf - Samuel Kim, Panayiotis Georgiou, and Shrikanth S. Narayanan. On-line Genre Classification of TV Programs Using Audio Content. In International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 798–802, May 2013.
details doi pdf - Jangwon Kim, Adam Lammert, Prasanta Kumar Ghosh, and Shrikanth S. Narayanan. Spatial and Temporal Alignment of Multimodal Human Speech Production Data: Realtime Imaging, Flesh Point Tracking and Audio. In International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 3637–3641, May 2013.
details doi pdf - Yoon-Chul Kim, Jangwon Kim, Michael I. Proctor, Asterios Toutios, Krishna S. Nayak, Sungbok Lee, and Shrikanth S. Narayanan. Toward automatic vocal tract area function estimation from accelerated three-dimensional magnetic resonance imaging. In ISCA Workshop on Speech Production in Automatic Speech Recognition (SPASR), aug 2013.
details pdf - Jangwon Kim, Donna Erickson, Sungbok Lee, and Shrikanth Narayanan. A study of invariant properties and variation patterns in the converter/distributor model for emotional speech. In Proceedings of Interspeech, sep 2014.
details pdf - Jangwon Kim, Naveen Kumar, Andreas Tsiartas, and Ming Li. Automatic intelligibility classification of sentence-level pathological speech. Computer, Speech, and Language, 2014.
details doi pdf - Jangwon Kim, Adam Lammert, Prasanta Kumar Ghosh, and Shrikanth S. Narayanan. Co-registration of speech production datasets from electromagnetic articulography and real-time magnetic resonance imaging. J. Acoust. Soc. Am., 135(2):EL115–EL121, feb 2014.
details doi pdf - Jangwon Kim, Sungbok Lee, and Shrikanth Narayanan. Estimation of the movement trajectories of non-crucial articulators based on the detection of crucial moments and physiological constraints. In Proceedings of Interspeech, sep 2014.
details pdf - Jangwon Kim, Asterios Toutios, Sungbok Lee, and Shrikanth S. Narayanan. A Kinematic Study of Critical and Non-critical Articulators in Emotional Speech Production. The Journal of the Acoustical Society of America, 137(3):1411–1429, March 2015.
details doi pdf - Jangwon Kim, Md Nasir, Rahul Gupta, Maarten Van Segbroeck, Daniel Bone, Matthew P. Black, Zisis Skordilis, Zhaojun Yang, Panayiotis Georgiou, and Shrikanth S. Narayanan. Automatic estimation of Parkinson's disease severity from diverse speech tasks. In Proceedings of Interspeech, sep 2015.
details pdf - Jangwon Kim, Anil Ramakrishna, Sungbok Lee, and Shrikanth S. Narayanan. Relations between prominence and articulatory-prosodic cues in emotional speech. In Proceedings of Speech Prosody, may 2016.
details pdf - Jangwon Kim, Asterios Toutios, Sungbok Lee, and Shrikanth Narayanan. Vocal tract shaping of emotional speech. Computer, Speech and Language, 64, 2020.
details doi pdf - Samuel Kim and Shrikanth S. Narayanan. Dynamic chroma feature vectors with applications to cover song identification. In Proceedings of the International Workshop on Multimedia Signal Processing (MMSP), pp. 984–987, Cairns, Australia, oct 2008.
details doi pdf - Samuel Kim, Erdem Unal, and Shrikanth S. Narayanan. Music fingerprint extraction for classical music cover song identification. In Proceedings of the IEEE International Conference on Multimedia and Expo (ICME), pp. 1261–1264, Hannover, Germany, jun 2008.
details doi pdf - Samuel Kim, Panayiotis Georgiou, and Shrikanth S. Narayanan. A robust harmony structure modeling scheme for classical music opus identification. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 1961–1964, Taipei, Taiwan, apr 2009.
details doi pdf - Samuel Kim, Panayiotis Georgiou, Sungbok Lee, and Shrikanth S. Narayanan. Real-time emotion detection system using speech: Multi-modal fusion of different timescale features. In Proceedings of the IEEE International Workshop on Multimedia Signal Processing (MMSP), pp. 48–51, Chania, Greece, oct 2007.
details doi pdf - Yoon-Chul Kim, Shrikanth S. Narayanan, and Krishna S. Nayak. Accelerated 3D MRI of vocal tract shaping using compressed sensing and parallel imaging. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 389–392, Taipei, Taiwan, apr 2009.
details doi pdf
Knox
- Dillon Knox, Timothy Greer, Benjamin Ma, Emily Kuo, Krishna Somandepalli, and Shrikanth Narayanan. Loss Function Approaches for Multi-label Music Tagging. In 2021 International Conference on Content-Based Multimedia Indexing (CBMI), pp. 1–4, , 2021.
details doi pdf
Kodali
- Manila Kodali, Luna Ansari, Sudarsana Reddy Kadiri, Shrikanth Narayanan, and Paavo Alku. Automatic classification of vocal intensity categories from amplitude-normalized speech signals by comparing acoustic features and classifier models. Speech Communication, 174:103288, 2025.
details doi HTML - Manila Kodali, Sudarsana Reddy Kadiri, Shrikanth Narayanan, and Paavo Alku. Wavelet Scattering Network Features for Intensity Category Classification and Prediction of SPL from Speech. In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1–5, , 2025.
details doi pdf
Kommineni
- Aditya Kommineni, Emily Zhou, Kleanthis Avramidis, Tiantian Feng, and Shrikanth Narayanan. A Multi-dimensional Framework for Evaluating Generalization in EEG Foundation Models. In Proceedings of the 7th Conference on Health, Inference, and Learning, pp. 221–244, Proceedings of Machine Learning Research 333, PMLR, 29--30 Jun 2026.
details HTML - Aditya Kommineni, Woojae Jeong, Kleanthis Avramidis, Colin McDaniel, Myzelle Hughes, Thomas McGee, Elsi Kaiser, Kristina Lerman, Idan A. Blank, Dani Byrd, Assal Habibi, B. Rael Cahn, Sudarsana Kadiri, Takfarinas Medani, Richard M. Leahy, and Shrikanth Narayanan. Neural Responses to Affective Sentences Reveal Signatures of Depression. Translational Psychiatry, Nature Publishing Group UK London, May 2026.
details doi HTML - Aditya Kommineni, Rajat Hebbar, Sarah Petrosyan, Pranali Khobragade, Sudarsana Kadiri, Miguel Arce Renteria, Jinkook Lee, and Shrikanth Narayanan. Can speech foundation models effectively identify languages in low-resource multilingual aging populations?. JASA Express Letters, 5(9):095204, AIP Publishing, 2025.
details doi HTML - Aditya Kommineni, Digbalay Bose, Tiantian Feng, So Hyun Kim, Helen Tager-Flusberg, Somer Bishop, Catherine Lord, Sudarsana Kadiri, and Shrikanth Narayanan. Can Multimodal Foundation Models Help Analyze Child-Inclusive Autism Diagnostic Videos?. In Interspeech 2025, pp. 3050–3054, 2025.
details doi HTML - Aditya Kommineni, Kleanthis Avramidis, Richard Leahy, and Shrikanth Narayanan. Knowledge-guided EEG Representation Learning. In Proceedings of the 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2024.
details pdf
Krishnamachari
- Suchitra Krishnamachari, Manoj Kumar, So Hyun Kim, Catherine Lord, and Shrikanth Narayanan. DEVELOPING NEURAL REPRESENTATIONS FOR ROBUST CHILD-ADULT DIARIZATION. In In proceedings of IEEE Spoken Language Technology Workshop, 2021.
details doi pdf
Kumar
- Prakash Kumar, Ye Tian, Yongwan Lim, Sophia X. Cui, Christina Hagedorn, Dani Byrd, Uttam K. Sinha, Shrikanth Narayanan, and Krishna S. Nayak. State-of-the-art speech production MRI protocol for new 0.55 Tesla scanners. In Interspeech 2024, pp. 2590–2594, 2024.
details doi - Naveen Kumar, Adam Lammert, Brendan Englot, Franz S. Hover, and Shrikanth S. Narayanan. Directional Descriptors Using Zernike Moment Phases For Object Orientation Estimation In Underwater Sonar Images. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), Prague, Czech Republic, may 2011.
details doi pdf - Naveen Kumar, Andreas Tsiartas, and Shrikanth S. Narayanan. Features for comparing tune similarity of songs across different languages. In Proceedings of IEEE Multimedia Signal Processing (MMSP), sep 2012.
details doi pdf - Naveen Kumar, Qun Feng Tan, and Shrikanth S. Narayanan. OBJECT CLASSIFICATION IN SIDESCAN SONAR IMAGES WITH SPARSE REPRESENTATION TECHNIQUES. In Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP), mar 2012.
details doi pdf - Naveen Kumar, Maarten Van Segbroeck, Kartik Audhkhasi, Peter Drotar, and Shrikanth Narayanan. Fusion of Diverse denoising systems for Robust Automatic Speech Recognition. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), may 2014.
details doi pdf - Naveen Kumar and Shrikanth Narayanan. Hull Detection Based On Largest Empty Sector Angle with application to analysis of real time MR images. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), may 2014.
details doi pdf - Naveen Kumar, Urbashi Mitra, and Shrikanth S. Narayanan. Robust object classification in underwater sidescan sonar images by using reliability aware fusion of shadow features. IEEE Journal of Oceanic Engineering, 2014.
details doi - Naveen Kumar and Shrikanth S. Narayanan. A discriminative reliability-aware classification model with applications to intelligibility classification in pathological speech. In Proceedings of Interspeech, sep 2015.
details pdf - Naveen Kumar, Tanaya Guha, Che Wei Huang, Colin Vaz, and Shrikanth S. Narayanan. Novel Affective Features for Multiscale Prediction of Emotion in Music. In Proceedings of 2016 IEEE Workshop on Multimedia Signal Processing, 2016.
details doi pdf - Manoj Kumar, Rahul Gupta, Daniel Bone, Nikolaos Malandrakis, Somer Bishop, and Shrikanth S. Narayanan. Objective Language Feature Analysis in Children with Neurodevelopmental Disorders During Autism Assessment. In Proceedings of Interspeech, 2016.
details doi pdf - Naveen Kumar, Fatemeh Fazel, Milica Stojanovic, and Shrikanth Narayanan. Online rate adjustment for adaptive random access compressed sensing of time-varying fields. EURASIP Journal on Advances in Signal Processing, 2016(48), apr 2016.
details doi pdf - Manoj Kumar, Daniel Bone, Kelly McWilliams, Shanna Williams, Thomas Lyon, and Shrikanth Narayanan. Multi-scale Context Adaptation for Improving Child Automatic Speech Recognition in Child-Adult Spoken Interactions. In Proceedings of Interspeech, August 2017.
details pdf - Manoj Kumar, Pavlos Pavlos Papadopoulos, Ruchir Travadi, Daniel Bone, and Shrikanth Narayanan. IMPROVING SEMI-SUPERVISED CLASSIFICATION FOR LOW-RESOURCE SPEECH INTERACTION APPLICATIONS. In Proceedings of ICASSP, April 2018.
details - Manoj Kumar, Pooja Chebolu, So Hyun Kim, Kassandra Martinez, Catherine Lord, and Shrikanth S. Narayanan. A Knowledge Driven Structural Segmentation Approach for Play-Talk Classification during Autism Assessment. In Proceedings of InterSpeech, Hyderabad, India, sep 2018.
details pdf - Mari Ganesh Kumar, M. S. Saranya, Shrikanth Narayanan, Mriganka Sur, and Hema Murthy. Subspace techniques for task independent EEG person identification. In In proceedings of 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’19), July 2019.
details - Manoj Kumar, So Hyun Kim, Catherine Lord, Thomas Lyon, and Shrikanth Narayanan. Leveraging Linguistic Context in Dyadic Interactions to Improve Automatic Speech Recognition for Children. Computer, Speech and Language, 63, 2020.
details doi pdf - Manoj Kumar, So Hyun Kim, Catherine Lord, and Shrikanth Narayanan. Speaker Diarization for Naturalistic Child-Adult Conversational Interactions using Contextual Information.. J. Acoust. Soc. Am., 147(2):EL196–EL200, February 2020.
details doi pdf - Mari Ganesh Kumar, Shrikanth Narayanan, Mriganka Sur, and Hema A Murthy. Evidence of Task-Independent Person-Specific Signatures in EEG using Subspace Techniques. IEEE Transactions on Information Forensics & Security, 16:2856–2871, 2021.
details doi pdf
Kunc
- Dominika Kunc, Joanna Komoszy\'nska, Kleanthis Avramidis, Tiantian Feng, Shrikanth Narayanan, Przemysław Kazienko, and Stanisław Saganowski. Dominance and Complementarity in Cross-Modal Representation Learning for Wearable Time Series. Information Fusion, pp. 104439, Elsevier, 2026.
details
Kuo
- Patty B Kuo, Michael J Tanana, Simon B Goldberg, Derek D Caperton, Shrikanth Narayanan, David C Atkins, and Zac E Imel. Machine-Learning-Based Prediction of Client Distress From Session Recordings. Clinical Psychological Science, pp. 21677026231172694, SAGE Publications Sage CA: Los Angeles, CA, 2023.
details doi pdf
Kwon
- Soonil Kwon and Shrikanth S. Narayanan. Unsupervised speaker indexing using generic models. IEEE Transactions on Speech and Audio Processing, 13(5):1004–1013, sep 2005.
details doi pdf - Soonil Kwon and Shrikanth S. Narayanan. Robust Speaker Identification Based on Selective Use of Feature Vectors. Pattern Recognition Letters, 28(1):85–89, January 2007.
details doi pdf - Soonil Kwon and Shrikanth S. Narayanan. A Study of Generic Models for Unsupervised On-line Speaker Indexing. In Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), pp. 423–428, St. Thomas, U.S. Virgin Islands, December 2003.
details pdf - Soonil Kwon and Shrikanth S. Narayanan. A method for on-line speaker indexing using generic reference models. In Proceedings of InterSpeech, pp. 2653–2656, Geneva, Switzerland, sep 2003.
details pdf - Soonil Kwon and Shrikanth S. Narayanan. Speaker Change Detection Using a New Weighted Distance Measure. In Proceedings of InterSpeech, pp. 16–20, Denver, CO, September 2002.
details pdf - Soonil Kwon and Shrikanth S. Narayanan. Speaker model quantization for unsupervised speaker indexing. In Proceedings of InterSpeech, pp. 1517–1520, Jeju Island, Korea, oct 2004.
details pdf
L'Hommedieu
- Michelle L'Hommedieu, Justin H. L'Hommedieu, Cynthia Begay, Alison Schenone, Lida Dimitropoulou, Gayla Margolin, Tiago H. Falk, Emilio Ferrara, Kristina Lerman, and Shrikanth Narayanan. Lessons Learned: Recommendations for Implementing A Longitudinal Study Using Wearable and Environmental Sensors in a Healthcare Organization. J Med Internet Res (JMIR) mHealth and uHealth, 7(12):e13305, Dec 2019.
details doi pdf
Lahiri
- Rimita Lahiri, So Hyun Kim, Somer Bishop, Catherine Lord, Helen Tager-Flusberg, and Shrikanth Narayanan. Exploring contrastive alignment across conversational turns for modeling vocal entrainment in interactions involving children with autism. Computer Speech & Language, 101:101993, 2026.
details doi HTML - Rimita Lahiri, Tiantian Feng, Rajat Hebbar, Catherine Lord, So Hyun Kim, and Shrikanth Narayanan. Robust Self Supervised Speech Embeddings for Child-Adult Classification in Interactions involving Children with Autism. In Proc. INTERSPEECH 2023, pp. 3557–3561, 2023.
details doi pdf - Rimita Lahiri, Md Nasir, Catherine Lord, So Hyun Kim, and Shrikanth Narayanan. A Context-Aware Computational Approach for Measuring Vocal Entrainment in Dyadic Conversations. In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1–5, , 2023.
details doi pdf - Rimita Lahiri, Md Nasir, Manoj Kumar, So Hyun Kim, Somer Bishop, Catherine Lord, and Shrikanth Narayanan. Interpersonal synchrony across vocal and lexical modalities in interactions involving children with Autism Spectrum Disorder. JASA Express Letters, 2(9):095202, 2022.
details doi pdf - Rimita Lahiri, Manoj Kumar, Somer Bishop, and Shrikanth Narayanan. Learning domain invariant representations for child-adult classification from speech. In Proceedings of ICASSP, May 2020.
details pdf
Lajonchere
- Clara M. Lajonchere, Barbara Y. Wheeler, Thomas W. Valente, Cary Kreutzer, Aron Munson, Shrikanth S. Narayanan, Abe Kazemzadeh, Roxana Cruz, Irene Martinez, Sheree M. Schrager, Lisa Schweitzer, Tara Chklovski, and Darryl Hwang. Strategies for Disseminating Information on Biomedical Research on Autism to Hispanic Parents. Journal of Autism and Developmental Disorders, 46(3):1038–1050, feb 2016.
details doi pdf
Lammert
- Adam Lammert, Erik Bresch, Dani Byrd, Louis Goldstein, and Shrikanth S. Narayanan. An articulatory study of lexicalized and epenthetic schwa using real time magnetic resonance imaging. In Proceedings of the Meeting of the Acoustical Society of America, Portland, Oregon, may 2009.
details doi pdf - Adam Lammert, Michael I. Proctor, and Shrikanth S. Narayanan. Data-Driven Analysis of Realtime Vocal Tract MRI using Correlated Image Regions. In Proceedings of InterSpeech, Makuhari, Japan, sep 2010.
details pdf - Adam Lammert, Erik Bresch, Louis Goldstein, and Shrikanth S. Narayanan. Gestural control in the English past-tense suffix: an articulatory study using real time MRI. In LabPhon, 2010.
details doi pdf - Adam Lammert, Louis Goldstein, and K. Iskarous. Locally-Weighted Regression for Estimating the Forward Kinematics of a Geometric Vocal Tract Model. In Interspeech, sep 2010.
details pdf - Adam Lammert, Michael I. Proctor, Athanasios Katsamanis, and Shrikanth S. Narayanan. Morphological Variation in the Adult Vocal Tract: A Modeling Study of its Potential Acoustic Impact. In Proceedings of Interspeech, August 2011.
details pdf - Adam Lammert, Michael I. Proctor, Louis Goldstein, Marianne Pouplier, and Shrikanth S. Narayanan. Automatic identification of stable modes and fluctuations in a repetitive task using real‐time MRI. In Proc. International Seminar on Speech Production (ISSP'11), jun 2011.
details pdf - Adam Lammert, Michael I. Proctor, and Shrikanth S. Narayanan. Morphological Variation in the Adult Vocal Tract: A Study Using rtMRI. In Proc. 9th Intl. Seminar on Speech Production (ISSP'11), Montreal, Canada, jun 2011. 2011 InterSpeech Speaker State Challenge Award Winner
details doi pdf - Adam Lammert, Michael I. Proctor, and Shrikanth S. Narayanan. Interspeaker Variability in Hard Palate Morphology and Vowel Production. Journal of Speech, Language, and Hearing Research, 56(6):1924–1933, dec 2013.
details doi pdf - Adam Lammert, Michael I. Proctor, and Shrikanth S. Narayanan. Morphological Variation in the Adult Hard Palate and Posterior Pharyngeal Wall. Journal of Speech, Language, and Hearing Research, 56(2):521–530, apr 2013.
details doi pdf - Adam Lammert, Louis Goldstein, Shrikanth S. Narayanan, and Khalil Iskarous. Statistical Methods for Estimation of Direct and Differential Kinematics of the Vocal Tract. Speech Communication, 55(1):147–161, 2013.
details doi pdf - Adam Lammert, Vikram Ramanarayanan, Michael I. Proctor, and Shrikanth S. Narayanan. Vocal tract cross-distance estimation from real-time MRI using region-of interest analysis. In Proceedings of InterSpeech, aug 2013.
details pdf - Adam Lammert, Louis Goldstein, Vikram Ramanarayanan, and Shrikanth S. Narayanan. Gestural control in the English past-tense suffix: an articulatory study using real-time MRI. Phonetica, 71(229–248), apr 2015.
details doi pdf - Adam Lammert and Shrikanth S. Narayanan. On Short-time Estimation of Vocal Tract Length from Formant Frequencies. PLoS ONE, 10(7):e0132193, July 2015.
details doi pdf - Adam Lammert, Christine H Shadle, Shrikanth S. Narayanan, and Thomas F. Quatieri. Investigation of Speed-Accuracy Tradeoffs in Speech Production Using Real-Time Magnetic Resonance Imaging. In Proceedings of Interspeech, 2016.
details doi pdf - Adam Lammert, Shadle Christine, Shrikanth Narayanan, and Thomas Quatieri. Speed-accuracy tradeoffs in human speech production. PLOS ONE, September 2018.
details doi pdf
Laukkanen
- Anne-Maria Laukkanen, Sudarsana Reddy Kadiri, Shrikanth Narayanan, and Paavo Alku. Can a Machine Distinguish High and Low Amount of Social Creak in Speech?. Journal of Voice, Elsevier, 2024.
details
Lee
- Jihwan Lee, Sean Foley, Thanathai Lertpetchpun, Kevin Huang, Yoonjeong Lee, Tiantian Feng, Louis Goldstein, Dani Byrd, and Shrikanth Narayanan. Arti-6: Towards six-dimensional Articulatory Speech Encoding. In ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 19117–19121, , May 2026.
details doi HTML - Jihwan Lee, Kevin Huang, Kleanthis Avramidis, Simon Pistrosch, Monica Gonzalez-Machorro, Yoonjeong Lee, Björn W. Schuller, Louis Goldstein, and Shrikanth Narayanan. Articulatory Feature Prediction from Surface EMG during Speech Production. In Interspeech 2025, pp. 320–324, 2025.
details doi HTML - Jihwan Lee, Tiantian Feng, Aditya Kommineni, Sudarsana Reddy Kadiri, and Shrikanth Narayanan. Enhancing Listened Speech Decoding from EEG via Parallel Phoneme Sequence Prediction. In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1–5, , 2025.
details doi pdf - Jihwan Lee, Aditya Kommineni, Tiantian Feng, Kleanthis Avramidis, Xuan Shi, Sudarsana Reddy Kadiri, and Shrikanth Narayanan. Toward Fully-End-to-End Listened Speech Decoding from EEG Signals. In Interspeech 2024, pp. 1500–1504, 2024.
details doi - Chi-Chun Lee, Theodora Chaspari, Emily Mower Provost, and Shrikanth S. Narayanan. An Engineering View on Emotions and Speech: From Analysis and Predictive Models to Responsible Human-Centered Applications. Proceedings of the IEEE, ():1–17, 2023.
details doi pdf - Sangwon Lee, Murali Annavaram, Gautam Thatte, Viktor Rozgic, Ming Li, Urbashi Mitra, Shrikanth S. Narayanan, and Donna Spruijt-Metz. Sensing for obesity: KNOWME implementation and lessons for an architect. In Proceedings of the Workshop on Biomedicine in Computing: Systems, Architectures, and Circuits (BiC), Austin, TX, jun 2009.
details pdf - Chi-Chun Lee, Carlos Busso, Sungbok Lee, and Shrikanth S. Narayanan. Modeling mutual influence of interlocutor emotion states in dyadic spoken interactions. In Proceedings of InterSpeech, Brighton, UK, sep 2009.
details pdf - Chi-Chun Lee, Emily Mower, Carlos Busso, Sungbok Lee, and Shrikanth S. Narayanan. Emotion recognition using a hierarchical binary decision tree approach. In Proceedings of InterSpeech, pp. [2009 InterSpeech Emotion Challenge Award Winner], Brighton, UK, sep 2009.
details doi pdf - Sungbok Lee, Alexandros Potamianos, and Shrikanth S. Narayanan. Acoustics of children’s speech: Developmental changes of temporal and spectral parameters. Journal of the Acoustical Society of America, 105(3):1455–1468, mar 1999. Selected Research Article
details doi pdf - Chul Min Lee and Shrikanth S. Narayanan. Toward detecting emotions in spoken dialogs. IEEE Transactions on Speech and Audio Processing, 13(2):293–303 [IEEE Signal Processing Society Best Paper Award 2009], mar 2005.
details doi pdf - Chi-Chun Lee and Shrikanth S. Narayanan. Predicting interruptions in dyadic spoken interactions. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Dallas, TX, mar 2010.
details doi pdf - Chi-Chun Lee, Matthew P. Black, Athanasios Katsamanis, Adam Lammert, Brian Baucom, Andrew Christensen, Panayiotis Georgiou, and Shrikanth S. Narayanan. Quantification of Prosodic Entrainment in Affective Spontaneous Spoken Interactions of Married Couples. In Proceedings of InterSpeech, pp. 793–796, September 2010.
details pdf - Sungbok Lee and Shrikanth S. Narayanan. Vocal tract contour analysis of emotional speech by the functional data curve representation. In Proceedings of InterSpeech, Makuhari, Japan, sep 2010.
details pdf - Chi-Chun Lee, Athanasios Katsamanis, Matthew P. Black, Brian Baucom, Panayiotis Georgiou, and Shrikanth S. Narayanan. Affective State Recognition in Married Couples' Interactions Using PCA-based Vocal Entrainment Measures with Multiple Instance Learning. In Proceedings of Affective Computing and Intelligent Interaction (ACII), Lecture Notes in Computer Science, oct 2011.
details doi pdf - Chi-Chun Lee, Emily Mower, Carlos Busso, Sungbok Lee, and Shrikanth S. Narayanan. Emotion recognition using a hierarchical binary decision tree approach. Speech Communication, 53(9-10):1162–1171, nov 2011. Special issue: Sensing Emotion and Affect - Facing Realism in Speech Processing
details doi pdf - Chi-Chun Lee, Athanasios Katsamanis, Panayiotis Georgiou, and Shrikanth S. Narayanan. Based on Isolated Saliency or Causal Integration? Toward a Better Understanding of Human Annotation Process using Multiple Instance Learning and Sequential Probability Ratio Test. In Proceedings of InterSpeech, sep 2012.
details pdf - Sungbok Lee and Shrikanth S. Narayanan. Effects of Emotion on the Lower Lip Movements at Phrase Boundaries. In Proceedings of Speech Prosody, may 2012.
details pdf - Chi-Chun Lee, Athanasios Katsamanis, Brian Baucom, Panayiotis Georgiou, and Shrikanth S. Narayanan. Using Measures of Vocal Entrainment to Inform Outcome-Related Behaviors in Marital Conflicts. In Proceedings of APSIPA Annual Summit and Conference, dec 2012.
details pdf - Chi-Chun Lee, Athanasios Katsamanis, Matthew P. Black, Brian Baucom, Andrew Christensen, Panayiotis Georgiou, and Shrikanth S. Narayanan. Computing Vocal Entrainment: A Signal-derived PCA-based Quantification Scheme with Application to Affect Analysis in Married Couple Interactions. Computer, Speech, and Language, 28(2):518–539, mar 2014.
details doi pdf - Sungbok Lee, Alexandros Potamianos, and Shrikanth S. Narayanan. Developmental acoustic study of American English diphthongs. J. Acoust. Soc. Am., 136(4):1880–1894, oct 2014.
details doi pdf - Chi-Chun Lee, Jangwon Kim, Angeliki Metallinou, Carlos Busso, Sungbok Lee, and Shrikanth S. Narayanan. Speech in Affective Computing, pp. 170–183, Handbook of Affective Computing, Oxford University Press, 2015.
details doi pdf - Chi-Chun Lee, Daniel Bone, and Shrikanth S. Narayanan. An Analysis of the Relationship between Signal-derived Vocal Arousal Score and Human Emotion Production and Perception. In Proceedings of Interspeech, sep 2015.
details pdf - Yoonjeong Lee, Louis Goldstein, and Shrikanth S. Narayanan. Systematic Variation In The Articulation Of The Korean Liquid Across Prosodic Positions. In Proceedings of International Congress of Phonetic Sciences (ICPhS 2015), aug 2015.
details pdf - Chi-Chun Lee, Athanasios Katsamanis, Matthew P. Black, Brian Baucom, Panayiotis Georgiou, and Shrikanth S. Narayanan. An Analysis of PCA-based Vocal Entrainment Measures in Married Couples' Affective Spoken Interactions. In Proceedings of Interspeech, Florence, Italy, aug 2011.
details pdf - Chi-Chun Lee, Sungbok Lee, and Shrikanth S. Narayanan. An analysis of multimodal cues of interruption in dyadic spoken interactions. In Proceedings of InterSpeech, pp. 1678–1681, Brisbane, Australia, sep 2008.
details pdf - Chul Min Lee and Shrikanth S. Narayanan. Emotion Recognition Using a Data-driven Fuzzy Inference System. In Proceedings of InterSpeech, pp. 157–160, Geneva, Switzerland, September 2003.
details pdf - Chul Min Lee, Shrikanth S. Narayanan, and Roberto Pieraccini. Combining acoustic and language information for emotion recognition. In Proceedings of InterSpeech, Denver, CO, sep 2002.
details pdf - Chul Min Lee, Shrikanth S. Narayanan, and Roberto Pieraccini. Classifying emotions in human-machine spoken dialogs. In Proceedings of the IEEE International Conference on Multimedia & Expo (ICME), pp. 737–740, Lausanne, Switzerland, aug 2002.
details doi pdf - Chul Min Lee, Shrikanth S. Narayanan, and Roberto Pieraccini. Recognition of negative emotions from the speech signal. In Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), pp. 240–243, Trento, Italy, dec 2001.
details doi pdf - Sungbok Lee, Serdar Yildirim, Abe Kazemzadeh, and Shrikanth S. Narayanan. An articulatory study of emotional speech production. In Proceedings of Interspeech, pp. 497–500, Lisbon, Portugal, oct 2005.
details pdf - Sungbok Lee, Alexandros Potamianos, and Shrikanth S. Narayanan. Analysis of children's speech: Duration, pitch and formants. In Proceedings of InterSpeech, pp. 473–476, 1, Rhodes, Greece, sep 1997.
details - Chul Min Lee, Serdar Yildirim, Murtaza Bulut, Abe Kazemzadeh, Carlos Busso, Zhigang Deng, Sungbok Lee, and Shrikanth S. Narayanan. Emotion recognition based on phoneme classes. In Proceedings of InterSpeech, pp. 889–892, Jeju Island, Korea, oct 2004.
details pdf - Sungbok Lee, Tsuneo Kato, and Shrikanth S. Narayanan. Relation between geometry and kinematics of articulatory trajectory associated with emotional speech production. In Proceedings of InterSpeech, pp. 2290–2293, Brisbane, Australia, sep 2008.
details pdf - Sungbok Lee, Erik Bresch, and Shrikanth S. Narayanan. An exploratory study of emotional speech production using functional data analysis techniques. In Proceedings of the International Seminar on Speech Production (ISSP), pp. 11–17, Ubatuba, Brazil, dec 2006.
details pdf - Sungbok Lee, Erik Bresch, Jason Adams, Abe Kazemzadeh, and Shrikanth S. Narayanan. A study of emotional speech articulation using a fast magnetic resonance imaging technique. In Proceedings of InterSpeech, Pittsburgh, PA, sep 2006.
details pdf
Lertpetchpun
- Thanathai Lertpetchpun, Yoonjeong Lee, Thanapat Trachu, Jihwan Lee, Tiantian Feng, Dani Byrd, and Shrikanth Narayanan. Quantifying Speaker Embedding Phonological Rule Interactions in Accented Speech Synthesis. In ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 17602–17606, , May 2026.
details doi HTML - Thanathai Lertpetchpun, Tiantian Feng, Dani Byrd, and Shrikanth Narayanan. Developing a High-performance Framework for Speech Emotion Recognition in Naturalistic Conditions Challenge for Emotional Attribute Prediction. In Interspeech 2025, pp. 4648–4652 [CHALLENGE AWARD WINNER], 2025.
details doi HTML
Levin
- Esther Levin, Shrikanth S. Narayanan, Roberto Pieraccini, Konstantin Biatov, E. Bocchieri, Giuseppe Di Fabbrizio, Wieland Eckert, Sungbok Lee, A. Pokrovsky, Mazin Rahim, P. Ruscitti, and Marilyn Walker. The AT&T-DARPA communicator mixed-initiative spoken dialog system. In Proceedings of InterSpeech, pp. 122–125, Beijing, China, oct 2000.
details pdf - Esther Levin, Roberto Pieraccini, Wieland Eckert, Giuseppe Di Fabbrizio, and Shrikanth S. Narayanan. Spoken dialog systems: From theory to practice. In Proceedings of the IEEE Automatic Speech Recognition and Understanding (ASRU) Workshop, Keystone, CO, dec 1999.
details pdf
Li
- Haoqi Li, Yelin Kim, Cheng-Hao Kuo, and Shrikanth S. Narayanan. Acted vs. Improvised: Domain Adaptation for Elicitation Approaches in Audio-Visual Emotion Recognition. In Proc. Interspeech 2021, pp. 3395–3399, 2021.
details doi pdf - Haoqi Li, Brian Baucom, Shrikanth Narayanan, and Panayiotis Georgiou. Unsupervised Speech Representation Learning for Behavior Modeling using Triplet Enhanced Contextualized Networks. Computer Speech & Language, pp. 101226, Elsevier, 2021.
details doi HTML - Ying Li, Shrikanth S. Narayanan, and C.-C. Jay Kuo. Movie content analysis, indexing and skimming via multimodal information. In A. Rosenfeld, D. Doermann, and D. Dementhon, editors, Video Mining, pp. 1–33, Kluwer Academic, 2003.
details doi pdf - Ying Li, Shrikanth S. Narayanan, and C.-C. Jay Kuo. Adaptive speaker identification with audiovisual cues for movie content analysis. Pattern Recognition Letters, 25(7):777–791, may 2004.
details doi pdf - Ying Li, Shrikanth S. Narayanan, and C.-C. Jay Kuo. Content-based movie analysis and indexing based on audiovisual cues. IEEE Transactions on Circuits and Systems for Video Technology, 14(8):1073–1085, aug 2004.
details doi pdf - Ming Li, Viktor Rozgic, Gautam Thatte, Sangwon Lee, Adar Emken, Murali Annavaram, Urbashi Mitra, Donna Spruijt-Metz, and Shrikanth S. Narayanan. Multimodal physical activity recognition by fusing temporal and cepstral information. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 18(4):369–380, 2010.
details doi pdf - Ming Li, Chi-Sang Jung, and Kyu Jeong Han. Combining Five Acoustic Level methods for Automatic Speaker Age and Gender Recognition. In Proceedings of InterSpeech, sep 2010.
details pdf - Ming Li and Shrikanth S. Narayanan. Robust ECG Biometrics by Fusing Temporal and Cepstral Information. In Proceedings of 20th International Conference on Pattern Recognition (ICPR), aug 2010.
details doi pdf - Ming Li, Xiang Zhang, Yonghong Yan, and Shrikanth S. Narayanan. Speaker Verification Using Sparse Representations on Total Variability I-Vectors. In Proceedings of Interspeech, pp. 2729–2732, August 2011.
details pdf - Ming Li and Shrikanth S. Narayanan. Robust Talking Face Video Verification Using Joint Factor Analysis And Sparse Representation On GMM Mean Shifted Supervectors. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), may 2011.
details doi pdf - Ming Li, Shrikanth S. Narayanan, Charley Lu, and Anne Wang. Speaker Verification using Lasso based Sparse Total Variability Supervector and Probabilistic Linear Discriminant Analysis. In NIST 2011 Speaker Recognition Workshop, dec 2011.
details pdf - Ming Li, Angeliki Metallinou, Daniel Bone, and Shrikanth S. Narayanan. Speaker states recognition using latent factor analysis based Eigenchannel factor vector modeling. In Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP), mar 2012.
details doi pdf - Ming Li, Charley Lu, Anne Wang, and Shrikanth S. Narayanan. Speaker Verification using Lasso based Sparse Total Variability Supervector with PLDA modeling. In Proceedings of APSIPA Annual Summit and Conference, dec 2012.
details pdf - Ming Li, Adam Lammert, Jangwon Kim, Prasanta Kumar Ghosh, and Shrikanth S. Narayanan. Automatic Classification of Palatal and Pharyngeal Wall Shape Categories from Speech Acoustics and Inverted Articulatory Signals. In ISCA Workshop on Speech Production in Automatic Speech Recognition (SPASR), aug 2013.
details pdf - Ming Li, Kyu Jeong Han, and Shrikanth S. Narayanan. Automatic Speaker Age and Gender Recognition Using Acoustic and Prosodic Level Information Fusion. Computer, Speech, and Language, 27(1):151–167, jan 2013.
details doi pdf - Ming Li, Jangwon Kim, Prasanta Kumar Ghosh, Vikram Ramanarayanan, and Shrikanth S. Narayanan. Speaker verification based on fusion of acoustic and articulatory Information. In Proceedings of InterSpeech, aug 2013.
details doi pdf - Ming Li, Andreas Tsiartas, Maarten Van Segbroeck, and Shrikanth S. Narayanan. Speaker verification using simplified and supervised i-vector modeling. In International Conference on Acoustics, Speech and Signal Processing (ICASSP), may 2013.
details doi pdf - Ming Li and Shrikanth Narayanan. Simplified Supervised I-vector Modeling with application to Robust and Efficient Language Identification and Speaker Verification. Computer, Speech, and Language, 2014.
details doi pdf - Ming Li, Jangwon Kim, Adam Lammert, Prasanta Kumar Ghosh, Vikram Ramanarayanan, and Shrikanth S. Narayanan. Speaker verification based on the fusion of speech acoustics and inverted articulatory signals. Computer, Speech, and Language, 36:196–211, mar 2016.
details doi pdf - Haoqi Li, Ming Tu, Jin Huang, Shrikanth Narayanan, and Panayiotis Georgiou. SPEAKER-INVARIANT AFFECTIVE REPRESENTATION LEARNING VIA ADVERSARIAL TRAINING. In Proceedings of ICASSP, May 2020.
details doi pdf - Ying Li, Shrikanth S. Narayanan, and C.-C. Jay Kuo. Audiovisual-based adaptive speaker identification. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 565–568, Hong Kong, apr 2003.
details doi pdf - Ying Li, Shrikanth S. Narayanan, Wei Ming, and C.-C. Jay Kuo. Automatic movie index generation based on multimodal information. In Proceedings of the International Symposium on The Convergence of Information Technologies and Communications (ITCom), pp. 42–53, Denver, CO, aug 2001.
details doi pdf - Ying Li, Shrikanth S. Narayanan, and C.-C. Jay Kuo. Identification of speakers in movie dialogs using audiovisual cues. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 2093–2096, Orlando, FL, may 2002.
details doi pdf
Lim
- Yongwan Lim, Asterios Toutios, Yannick Bliesener, Ye Tian, Sajan Goud Lingala, Colin Vaz, Tanner Sorensen, Miran Oh, Sarah Harper, Weiyi Chen, Yoonjeong Lee, Johannes Töger, Mairym Lloréns Montesserin, Caitlin Smith, Bianca Godinez, Louis Goldstein, Dani Byrd, Krishna S. Nayak, and Shrikanth S. Narayanan. A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images. Scientific Data (Nature Research), 8(187), 2021.
details doi pdf - Yongwan Lim, Sajan G Lingala, Asterios Toutios, Shrikanth S. Narayanan, and Krishna S. Nayak. Improved Depiction of Tissue Boundaries in Vocal Tract Real-Time MRI Using Automatic Off-Resonance Correction. In Proceedings of Interspeech, sep 2016.
details doi pdf - Yongwan Lim, Yinghua Zhu, Sajan Goud Lingala, Dani Byrd, and Shrikanth Narayanan. 3D Dynamic MRI of the Vocal Tract During Natural Speech. Magnetic Resonance in Medicine, pp. 10, November 2018.
details doi pdf - Yongwan Lim, Sajan Goud Lingala, Shrikanth S Narayanan, and Krishna S Nayak. Dynamic Off-resonance Correction for Spiral Real-Time MRI of Speech. Magnetic resonance in medicine, :1–13, May 2018.
details doi pdf - Yongwan Lim, Shrikanth Narayanan, and Nayak,Krishna. Deblurring for spiral real-time MRI using convolutional neural networks. In Proceedings of Medical Imaging with Deep Learning (MIDL 2020), July 2020.
details - Yongwan Lim, Yannick Bliesener, Shrikanth Narayanan, and Nayak, Krishna. Deblurring for Spiral Real-Time MRI Using Convolutional Neural Networks. Magnetic Resonance in Medicine, 2020.
details
Lin
- Chih-mei Lin, Shrikanth S. Narayanan, and Russell Ritenour. Database management and analysis for spoken dialog systems: Methodology and tools. In Proceedings of InterSpeech, pp. 2199–2202, 4, Rhodes, Greece, sep 1997.
details
Lingala
- Sajan G Lingala, Yinghua Zhu, Yoon-Chul Kim, Asterios Toutios, Shrikanth S. Narayanan, and Krishna S. Nayak. Towards High Frame Rate Real-Time Magnetic Resonance Imaging of Speech Production. SPIE News Room, jun 2015.
details doi pdf - Sajan G Lingala, Yinghua Zhu, Yoon-Chul Kim, Asterios Toutios, Shrikanth S. Narayanan, and Krishna S. Nayak. A fast and flexible MRI system for the study of dynamic vocal tract shaping. Magnetic Resonance in Medicine, jan 2016.
details doi pdf - Sajan G Lingala, Asterios Toutios, Johannes Toger, Yongwan Lim, Yinghua Zhu, Yoon-Chul Kim, Colin Vaz, Shrikanth S. Narayanan, and Krishna S. Nayak. State-of-the-Art MRI Protocol for Comprehensive Assessment of Vocal Tract Structure and Function. In Proceedings of Interspeech, 2016.
details doi pdf - Sajan G Lingala, Yinghua Zhu, Yongwan Lim, Asterios Toutios, Yunhua Ji, Wei-Ching Lo, Nicole Seiberlich, Shrikanth S. Narayanan, and Krishna S. Nayak. Feasibility of Spiral Through-Time GRAPPA for low latency accelerated Real-time MRI of speech. Magnetic Resonance in Medicine, 2017.
details doi
Liu
- Chuping Liu, John Galvin, Qian-Jie Fu, and Shrikanth S. Narayanan. Effect of spectral normalization on different talker speech recognition by cochlear implant users. Journal of the Acoustical Society of America, 123(5):2836–2847, may 2008.
details doi pdf - Chuping Liu, Qian-Jie Fu, and Shrikanth S. Narayanan. Effect of bandwidth extension to telephone speech recognition in cochlear implant users. Journal of the Acoustical Society of America, 125(2):EL77–EL83, feb 2009.
details doi pdf - Chuping Liu, Qian-Jie Fu, and Shrikanth S. Narayanan. Smooth GMM based multi-talker spectral conversion for spectrally degraded speech. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 141–144, Toulose, France, may 2006.
details doi pdf
Lord
- Sarah Peregrine Lord, Dogan Can, Michael Yi, Rebeca Marin, Christopher Dunn, Zac E. Imel, Panayiotis Georgiou, Shrikanth S. Narayanan, Mark Steyvers, and David Atkins. Advancing methods for reliably assessing motivational interviewing fidelity using the Motivational Interviewing Skills Code. Journal of Substance Abuse Treatment, 49:50–57, feb 2015.
details doi pdf
Lu
- Yijing Lu, Louis Goldstein, Christina Hagedorn, and Shrikanth Narayanan. Temporal patterns in articulation underlying repetitions, prolongations and blocks. Journal of Fluency Disorders, pp. 106224, Elsevier, 2026.
details - Yijing Lu, Louis Goldstein, Dani Byrd, and Shrikanth Narayanan. Effective Elicitation of Stuttering in Magnetic Resonance Imaging Data Collection Using a Suite of Connected Speech Tasks. Journal of Speech, Language, and Hearing Research, pp. 1–15, 2025.
details doi HTML
Luo
- Qinyi Luo, Rahul Gupta, and Shrikanth Narayanan. TRANSFER LEARNING BETWEEN CONCEPTS FOR HUMAN BEHAVIOR MODELING: AN APPLICATION TO SINCERITY AND DECEPTION PREDICTION. In Proceedings of Interspeech, August 2017.
details
Lynn
- Elisabeth Lynn, Shrikanth S. Narayanan, and Adam C. Lammert. Dark tone quality and vocal tract shaping in soprano song production: Insights from real-time MRI. JASA Express Letters, 1(7):075202, 2021.
details doi pdf
Ma
- Marcus Ma, Jordan Prescott, Emily Zhou, Tiantian Feng, Kleanthis Avramidis, Gabor Mihaly Toth, and Shrikanth Narayanan. Encoding Emotion Through Self-Supervised Eye Movement Reconstruction. In ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 5316–5320, , May 2026.
details doi HTML - Marcus Ma, Georgios Chochlakis, Niyantha Maruthu Pandiyan, Jesse Thomason, and Shrikanth Narayanan. Large Language Models Do Multi-Label Classification Differently. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pp. 2472–2495, Association for Computational Linguistics, Suzhou, China, November 2025.
details doi HTML - Benjamin Ma, Timothy Greer, Dillon Knox, and Shrikanth Narayanan. A computational lens into how music characterizes genre in film. PLOS ONE, 16(4):1–14, Public Library of Science, 04 2021.
details doi pdf - Benjamin Ma, Timothy Greer, Matthew Sachs, Assal Habibi, Jonas Kaplan, and Shrikanth Narayanan. Predicting Human-Reported Enjoyment Responses in Happy and Sad Music. In Proceedings of 8th International Conference on Affective Computing & Intelligent Interaction, September 2019.
details doi pdf
Malandrakis
- Nikolaos Malandrakis, Alexandros Potamianos, Iosif Elias, and Shrikanth S. Narayanan. EmotiWord: Affective Lexicon Creation with Application to Interaction and Multimedia Data. In MUSCLE International Workshop on Computational Intelligence for Multimedia Understanding, dec 2011.
details doi pdf - Nikolaos Malandrakis, Alexandros Potamianos, and Shrikanth S. Narayanan. Continuous models of Affect from text using n-grams. In International Conference on Acoustics, Speech and Signal Processing (ICASSP), may 2013.
details doi pdf - Nikolaos Malandrakis, Iosif Elias, Vassiliki Prokopi, Alexandros Potamianos, and Shrikanth S. Narayanan. DeepPurple: Lexical, String and Affective Feature Fusion for Sentence-Level Semantic Similarity Estimation. In Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity, pp. 103–108, Association for Computational Linguistics, jun 2013.
details pdf - Nikolaos Malandrakis, Alexandros Potamianos, Iosif Elias, and Shrikanth S. Narayanan. Distributional Semantic Models for Affective Text Analysis. IEEE Transactions on Audio, Speech and Language Processing, 21(11):2379–2392, nov 2013.
details doi pdf - Nikolaos Malandrakis, Abe Kazemzadeh, Alexandros Potamianos, and Shrikanth S. Narayanan. SAIL: A hybrid approach to sentiment analysis. In Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013), pp. 438–442, Association for Computational Linguistics, jun 2013.
details pdf - Nikolaos Malandrakis, Michael Falcone, Colin Vaz, Jesse Bisogni, Alexandros Potamianos, and Shrikanth S. Narayanan. SAIL: Sentiment Analysis using Semantic Similarity and Contrast Features. In Proceedings of SemEval 2014, aug 2014.
details pdf - Nikolaos Malandrakis and Shrikanth S. Narayanan. Therapy Language Analysis using Automatically Generated Psycholinguistic Norms. In Proceedings of Interspeech, sep 2015.
details pdf - Nikolaos Malandrakis, Alexandros Potamianos, Iosif Elias, and Shrikanth S. Narayanan. Kernel models for affective lexicon creation. In Proceedings of Interspeech, Florence, Italy, aug 2011.
details pdf - Nikolaos Malandrakis, Alexandros Potamianos, Kean J Hsu, Kalina N Babeva, Michelle C Feng, Gerald C Davison, and Shrikanth Narayanan. Affective language model adaptation via corpus selection. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), may 2014.
details doi pdf - Nikolaos Malandrakis, Ondrej Glembek, and Shrikanth Narayanan. Extracting Situation Frames from non-English Speech: Evaluation Framework and Pilot Results. In Proceedings of Interspeech, August 2017.
details - Nikolaos Malandrakis, Anil Ramakrishna, Victor Martinez, Tanner Sorensen, Dogan Can, and Shrikanth Narayanan. The elisa situation frame extraction for low resource languages pipeline for lorehlt’2016. Machine Translation, 32(1-2):127–142, Springer, 2018.
details doi pdf
Martinez
- Victor R. Martinez, Krishna Somandepalli, and Shrikanth Narayanan. Boys don't cry (or kiss or dance): A computational linguistic lens into gendered actions in film. PLOS ONE, 17(12):1–23, Public Library of Science, 12 2022.
details doi pdf - Victor Martinez, Krishna Somandepalli, Yalda Uhls, and Shrikanth Narayanan. Joint Estimation and Analysis of Risk Behavior Ratings in Movie Scripts. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 4780–4790, Association for Computational Linguistics, Online, November 2020.
details doi HTML - Victor Martinez, Anil Ramakrishna, Ming-Chang Chiu, Karan Singla, and Shrikanth Narayanan. A system for the 2019 Sentiment, Emotion and Cognitive State Task of DARPA's LORELEI project. In In proceedings of Proceedings of the 8th International Conference on Affective Computing & Intelligent Interaction, September 2019.
details - Victor Martinez, Nikolaos Flemotomos, Victor Ardulov, Krishna Somandepalli, Simon Goldberg, Zac Imel, David Atkins, and Shrikanth Narayanan. Identifying Therapist and Client Personae for Therapeutic Alliance Estimation. In In proceedings of Proceedings of Interspeech, September 2019.
details - Victor Martinez, Krishna Somandepalli, Karan Singla, Anil Ramakrishna, Yalda Uhls, and Shrikanth Narayanan. Violence Rating Prediction from Movie Scripts. In In proceedings of Proceedings of Thirty-Third AAAI Conference on Artificial Intelligence, January 2019.
details pdf
Matsunaga
- Kate Matsunaga, Kleanthis Avramidis, Mark S. Borchert, Shrikanth Narayanan, and Melinda Y. Chang. Generative Artificial Intelligence (AI)-enabled Saliency analysis of Eye Tracking in Cerebral/Cortical Visual Impairment (SET-CVI). Ophthalmology Science, pp. 101081, 2026.
details doi HTML - Kate Matsunaga, Kleanthis Avramidis, Mark S Borchert, Shrikanth Narayanan, and Melinda Chang. Method for assessing visual saliency in children with cerebral/cortical visual impairment (CVI) using generative artificial intelligence (AI). Frontiers in Human Neuroscience, 18:1506286, Frontiers, 2025.
details doi
McDaniel
- Colin McDaniel, Myzelle L. Hughes, Takfarinas Medani, Woojae Jeong, Thomas A. McGee, Aditya Kommineni, Kleanthis Avramidis, Hamzeh Alturk, Dani Byrd, Kristina Lerman, Sudarsana R. Kadiri, Idan A. Blank, Richard M. Leahy, Shrikanth Narayanan, B. Rael Cahn, and Assal Habibi. Neural evidence of disrupted self-referential processing in suicidal depression. Journal of Affective Disorders, pp. 121817, 2026.
details doi HTML
McErlean
- Donal McErlean and Shrikanth S. Narayanan. Distribution detection and tracking in sensor networks. In Proceedings of the Asilomar Conference on Signals, Systems and Computers, pp. 1174–1178, Pacific Grove, CA, nov 2002.
details pdf
McKernan
- Elizabeth McKernan, Manoj Kumar, Adriana Di Martino, Lisa Shulman, Alexander Kolevzon, Catherine Lord, Somer Bishop, Shrikanth Narayanan, and So Hyun Kim. Intra-topic Latency as an Automated Behavioral Marker of Treatment Response in Autism Spectrum Disorder. Scientific reports, 12(3255):1–10, Nature Publishing Group, 2022.
details doi pdf
McMicken
- Betty McMicken, Frederico Salles, Shelley Von Berg, Margaret Vento-Wilson, Kelly Rogers, Asterios Toutios, and Shrikanth Narayanan. Bilabial Substitution Patterns during Consonant Production in a Case of Congenital Aglossia. Journal of Communication Disorders, Deaf Studies and Hearing Aids, 5(2):175, September 2017.
details pdf
Meesookho
- Chartchai Meesookho, Urbashi Mitra, and Shrikanth S. Narayanan. On energy-based acoustic source localization for sensor networks. IEEE Transactions on Signal Processing, 56(1):365–377, jan 2008.
details doi pdf - Chartchai Meesookho and Shrikanth S. Narayanan. Distributed range difference based target localization in sensor network. In Proceedings of the Asilomar Conference on Signals, Systems and Computers, pp. 205–209, Pacific Grove, CA, oct 2005.
details doi pdf - Chartchai Meesookho, Shrikanth S. Narayanan, and C. Raghavendra. Collaborative Classification Applications in Sensor Networks. In Proceedings of the IEEE Sensor Array and Multichannel Signal Processing (SAM) Workshop, pp. 370–374, Arlington, VA, August 2002.
details doi pdf
Mehlman
- Nicholas Mehlman and Shrikanth Narayanan. Task-Preserving EEG Anonymization Using Latent Feature Masking. IEEE Journal of Biomedical and Health Informatics, ():1–14, 2026.
details doi pdf - Nicholas Mehlman and Shrikanth Narayanan. Ghost poisoning: Making users invisible to speaker verification models. JASA Express Letters, 6(6):065203, 06, 2026.
details doi HTML - Nicholas Mehlman and Shri Narayanan. Adversarial Robustness of Self-Supervised Learning Features. IEEE Open Journal of Signal Processing, 6():468–477, 2025.
details doi - Nick Mehlman, Xuan Shi, Aditya Kommineni, and Shrikanth Narayanan. Detecting Poisoning Attacks against Speech Datasets using Variational Autoencoders. In Proc. 3rd Symposium on Security and Privacy in Speech Communication, pp. 34–40, 2023.
details doi pdf - Nicholas Mehlman, Anirudh Sreeram, Raghuveer Peri, and Shrikanth Narayanan. Mel Frequency Spectral Domain Defenses against Adversarial Attacks on Speech Recognition Systems. JASA Express Letters, 3(3):035208, 2023.
details doi pdf
Meireles
- Alexsandro Meireles, Louis Goldstein, Reed Blaylock, and Shrikanth S. Narayanan. Gestural Coordination Of Brazilian Portuguese Nasal Vowels In CV Syllables: A Real-time MRI Study. In Proceedings of International Congress of Phonetic Sciences (ICPhS 2015), aug 2015.
details pdf
Melistas
- Thomas Melistas, Lefteris Kapelonis, Nikos Antoniou, Petros Mitseas, Dimitris Sgouropoulos, Theodoros Giannakopoulos, Athanasios Katsamanis, and Shrikanth Narayanan. Cross-Lingual Features for Alzheimer’s Dementia Detection from Speech. In Proc. INTERSPEECH 2023, pp. 3008–3012, 2023.
details doi pdf
Metallinou
- Angeliki Metallinou, Sungbok Lee, and Shrikanth S. Narayanan. Decision level combination of multiple modalities for recognition and analysis of emotional expression. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Dallas, Texas, mar 2010.
details doi pdf - Angeliki Metallinou, Chi-Chun Lee, Carlos Busso, Sharon Carnicke, and Shrikanth S. Narayanan. The USC CreativeIT Database: A Multimodal Database of Theatrical Improvisation. In Multimodal Corpora: Advances in Capturing, Coding and Analyzing Multimodality (MMC), Valletta, Malta, may 2010.
details doi pdf - Angeliki Metallinou, Carlos Busso, Sungbok Lee, and Shrikanth S. Narayanan. Visual emotion recognition using compact facial representations and viseme information. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Dallas, Texas, mar 2010.
details doi pdf - Angeliki Metallinou, Athanasios Katsamanis, Yun Wang, and Shrikanth S. Narayanan. Tracking Changes in Continuous Emotion States using Body Language and Prosodic Cues. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), may 2011.
details doi pdf - Angeliki Metallinou, Athanasios Katsamanis, and Shrikanth S. Narayanan. A hierarchical framework for modeling multimodality and emotional evolution in affective dialogs. In Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP), mar 2012.
details doi pdf - Angeliki Metallinou, Martin Wollmer, Athanasios Katsamanis, Florian Eyben, Bjorn Schuller, and Shrikanth S. Narayanan. Context-Sensitive Learning for Enhanced Audiovisual Emotion Classification. IEEE Transactions on Affective Computing, 3(2):184–198, apr 2012.
details doi pdf - Angeliki Metallinou and Shrikanth S. Narayanan. Annotation and Processing of Continuous Emotional Attributes: Challenges and Opportunities. In 2nd International Workshop on Emotion Representation, Analysis and Synthesis in Continuous Time and Space (EmoSPACE 2013), apr 2013.
details doi pdf - Angeliki Metallinou, Ruth Grossman, and Shrikanth S. Narayanan. Quantifying Atypicality In Affective Facial Expressions Of Children With Autism Spectrum Disorders. In Proceedings of the IEEE International Conference on Multimedia & Expo (ICME), jul 2013.
details doi pdf - Angeliki Metallinou, Athanasios Katsamanis, and Shrikanth S. Narayanan. Tracking continuous emotional trends of participants during affective dyadic interactions using body language and speech information. Image and Vision Computing, 31(2):137–152, feb 2013.
details doi pdf - Angeliki Metallinou, Martin Wollmer, Athanasios Katsamanis, Florian Eyben, Bjorn Schuller, and Shrikanth S. Narayanan. Context-Sensitive Learning for Enhanced Audiovisual Emotion Classification. In Proceedings of Affective Computing and Intelligent Interaction (ACII), sep 2015.
details doi pdf - Angeliki Metallinou, Zhaojun Yang, Chi-Chun Lee, Carlos Busso, Sharon Carnicke, and Shrikanth S. Narayanan. The USC CreativeIT Database of Multimodal Dyadic Interactions: From Speech and Full Body Motion Capture to Continuous Emotional Annotations. Journal of Language Resources and Evaluation, 2015.
details doi pdf - Angeliki Metallinou, Sungbok Lee, and Shrikanth S. Narayanan. Audio-visual emotion recognition using Gaussian mixture models for face and voice. In Proceedings of the IEEE International Symposium on Multimedia (ISM), pp. 250–257, Berkeley, CA, dec 2008.
details doi pdf
Mitra
- Urbashi Mitra, Adar Emken, Sangwon Lee, Ming Li, Viktor Rozgic, Gautam Thatte, Harsh Vatsangam, Daphney Zois, Murali Annavaram, Shrikanth S. Narayanan, Donna Spruijt-Metz, and Gaurav Sukhatme. KNOWME: a Case Study in Wireless Body Area Sensor Network Design. IEEE Communications Magazine, 50(5):116–125, May 2012.
details doi pdf - Urbashi Mitra, Sunav Choudhary, Franz S. Hover, Robert Hummel, Naveen Kumar, Shrikanth S. Narayanan, Milica Stojanovic, and Gaurav Sukhatme. Structured Sparse Methods for Active Ocean Observation Systems with Communication Constraints. IEEE Communications Magazine, 53(11):88–96, November 2015.
details doi pdf
Molina
- Carlos Molina, Sungbok Lee, Shrikanth S. Narayanan, and Néstor Becerra Yoma. A study of the effectiveness of articulatory strokes for phonemic recognition. In Proceedings of Interspeech, Florence, Italy, aug 2011.
details pdf
Montanari
- Simona Montanari, Serdar Yildirim, Sonia Khurana, Marni Landes, Lewis Lawyer, Elaine Andersen, and Shrikanth S. Narayanan. Analyzing the interplay between spoken language and gestural cues in conversational child-machine interactions in pre/early literate age group. In Proceedings of the InSTIL/ICALL Symposium, Venice, Italy, jun 2004.
details pdf - Simona Montanari, Serdar Yildirim, Elaine Andersen, and Shrikanth S. Narayanan. Reference marking in children's computer-directed speech: An integrated analysis of discourse and gesture. In Proceedings of InterSpeech, pp. 1841–1844, Jeju Island, Korea, oct 2004.
details pdf
Monteserin
- Mairym Llorens Monteserin, Shrikanth S. Narayanan, and Louis Goldstein. Perceptual Lateralization of Coda Rhotic Production in Puerto Rican Spanish. In Proceedings of Interspeech, sep 2016.
details doi pdf
Morbini
- Fabrizio Morbini, Kartik Audhkhasi, Ron Artstein, Maarten Van Segbroeck, Kenji Sagae, Panayiotis Georgiou, David Traum, and Shrikanth S. Narayanan. A reranking Approach for recognition and classification speech input in conversational dialog systems. In Proceedings of IEEE Workshop on Spoken Language Technology, dec 2012.
details doi pdf - Fabrizio Morbini, Kartik Audhkhasi, Kenji Sagae, Ron Arstein, Dogan Can, Panayiotis Georgiou, Shrikanth S. Narayanan, Anton Leuski, and David Traum. Which ASR should I choose for my dialogue system?. In SIGDIAL, aug 2013.
details pdf
Moschopoulos
- Theodosis Moschopoulos, Iosif Elias, Leeda Demetropoulou, Alexandros Potamianos, and Shrikanth S. Narayanan. Towards the Automatic Extraction of Policy Networks using Web Links and Documents. IEEE Transactions on Knowledge and Data Engineering, 25(10):2404–2417, oct 2013.
details doi pdf
Mote
- Nicolaus Mote, Lewis Johnson, Abhinav Sethy, Jorge Silva, and Shrikanth S. Narayanan. Tactical language detection and modeling of learner speech errors: The case of Arabic tactical language training for American English speakers. In Proceedings of the InSTIL/ICALL Symposium, Venice, Italy, jul 2004.
details pdf - Nicolaus Mote, Lewis Johnson, Abhinav Sethy, and Shrikanth S. Narayanan. Not all errors are created equal: Pedagogical contextualization of language learner speech errors. In Proceedings of the The Computer Assisted Language Instruction Consortium (CALICO), Honolulu, Hawaii, mar 2006.
details
Mouchtaris
- Athanasios Mouchtaris, Shrikanth S. Narayanan, and Chris Kyriakakis. Virtual microphones for multichannel audio resynthesis. EURASIP Journal on Applied Signal Processing, 10(1):968–979, sep 2003.
details doi pdf - Athanasios Mouchtaris, Shrikanth S. Narayanan, and Chris Kyriakakis. Multichannel audio synthesis by subband-based spectral conversion and parameter adaptation. IEEE Transactions on Speech and Audio Processing, 13(2):263–274, mar 2005.
details doi pdf - Athanasios Mouchtaris, Shrikanth S. Narayanan, and Chris Kyriakakis. Multiresolution spectral conversion for multichannel audio resynthesis. In Proceedings of the IEEE International Conference on Multimedia & Expo (ICME), pp. 273– 276, Lausanne, Switzerland, aug 2002.
details doi pdf - Athanasios Mouchtaris, Shrikanth S. Narayanan, and Chris Kyriakakis. Maximum likelihood constrained adaptation for multichannel audio synthesis. In Proceedings of the Asilomar Conference on Signals, Systems and Computers, pp. 227–232, Pacific Grove, CA, nov 2002.
details doi pdf - Athanasios Mouchtaris, Shrikanth S. Narayanan, and Chris Kyriakakis. Efficient multichannel audio resynthesis by subband-based spectral conversion. In Proceedings of the European Signal Processing Conference (EUSIPCO), pp. 413–416, Toulose, France, sep 2002.
details pdf - Athanasios Mouchtaris, Shrikanth S. Narayanan, and Chris Kyriakakis. Gaussian mixture model based methods for virtual microphone signal synthesis. In Proceedings of the Audio Engineering Society (AES) Convention, Los Angeles, CA, oct 2002.
details pdf
Mower
- Emily Mower, Maja J. Mataric, and Shrikanth S. Narayanan. Evaluating evaluators: A case study in understanding the benefits and pitfalls of multi-evaluator modeling. In Proceedings of InterSpeech, Brighton, UK, sep 2009.
details pdf - Emily Mower, Maja J. Mataric, and Shrikanth S. Narayanan. Human perception of audio-visual synthetic character emotion expression in the presence of ambiguous and conflicting information. IEEE Transactions on Multimedia, 11(5):843–855, aug 2009.
details doi pdf - Emily Mower, Angeliki Metallinou, Chi-Chun Lee, Abe Kazemzadeh, Carlos Busso, Sungbok Lee, and Shrikanth S. Narayanan. Interpreting ambiguous emotional expressions. In Proceedings of the International Conference on Affective Computing and Intelligent Interaction (ACII), Amsterdam, The Netherlands, sep 2009.
details doi pdf - Emily Mower, Kyu Jeong Han, Sungbok Lee, and Shrikanth S. Narayanan. A Cluster-Profile Representation of Emotion Using Agglomerative Hierarchical Clustering. In Proceedings of InterSpeech, Makuhari, Japan, sep 2010.
details pdf - Emily Mower, Maja J. Mataric, and Shrikanth S. Narayanan. Robust Representations for Out-of-Domain Emotions Using Emotion Profiles. In IEEE Workshop on Spoken Language Technology (SLT), dec 2010.
details doi pdf - Emily Mower, Chi-Chun Lee, James Gibson, Theodora Chaspari, Marian Williams, and Shrikanth S. Narayanan. Analyzing the Nature of ECA Interactions in Children with Autism. In Proceedings of Interspeech, Florence, Italy, aug 2011.
details pdf - Emily Mower, Maja J. Mataric, and Shrikanth S. Narayanan. A Framework for Automatic Human Emotion Classification Using Emotional Profiles. IEEE Transactions on Audio, Speech and Language Processing, 19(5):1057–1070, 2011.
details doi pdf - Emily Mower and Shrikanth S. Narayanan. A Hierarchical Static-Dynamic Framework For Emotion Classification. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), may 2011.
details doi pdf - Emily Mower, Matthew P. Black, Elisa Flores, Marian Williams, and Shrikanth S. Narayanan. Design of an Emotionally Targeted Interactive Agent for Children with Autism. In Proceedings of IEEE International Conference on Multimedia & Expo (ICME), pp. 1–6, jul 2011.
details doi pdf - Emily Mower Provost and Shrikanth S. Narayanan. Simplifying Emotion Classification Through Emotion Distillation. In Proceedings of APSIPA Annual Summit and Conference, dec 2012.
details pdf - Emily Mower Provost, Irene Zhu, and Shrikanth S. Narayanan. Using Emotional Noise to Uncloud Audio-Visual Emotion Perception. In IEEE International Conference on Multimedia & Expo (ICME), pp. 1–6, July 2013.
details doi pdf - Emily Mower, Maja J. Mataric, and Shrikanth S. Narayanan. Selection of emotionally salient audio-visual features for modeling human evaluations of synthetic character emotion displays. In Proceedings of the IEEE International Symposium on Multimedia (ISM), pp. 190–195, Berkeley, CA, dec 2008.
details doi pdf - Emily Mower, Sungbok Lee, Maja J. Mataric, and Shrikanth S. Narayanan. Human perception of synthetic character emotions in the presence of conflicting and congruent vocal and facial expressions. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 2201–2204, Las Vegas, Nevada, apr 2008.
details doi pdf - Emily Mower, David Feil-Seifer, Maja J. Mataric, and Shrikanth S. Narayanan. Investigating Implicit Cues for User State Estimation in Human-robot Interaction Using Physiological Measurements. In Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), pp. 1125–1130, Jeju Island, Korea, August 2007.
details doi pdf - Emily Mower, Sungbok Lee, Maja J. Mataric, and Shrikanth S. Narayanan. Joint-processing of audio-visual signals in human perception of conflicting synthetic character emotions. In Proceedings of the IEEE International Conference on Multimedia and Expo (ICME), pp. 961–964, Hannover, Germany, jun 2008.
details doi pdf
Mundnich
- Karel Mundnich, Md Nasir, Panayiotis Georgiou, and Shrikanth Narayanan. Exploiting Intra-annotator Rating Consistency through Copeland’s Method for Estimation of Ground Truth Labels in Couples’ Therapy. In Proceedings of Interspeech, August 2017.
details pdf - Karel Mundnich, Benjamin Girault, and Shrikanth Narayanan. Bluetooth based Indoor Localization using Triplet Embeddings. In Proceedings of ICASSP, May 2019.
details pdf - Karel Mundnich, Brandon Booth, Benjamin Girault, and Shrikanth Narayanan. Generating labels for regression of subjective constructs using triplet embeddings. Pattern Recognition Letters, 128:385–392, December 2019.
details pdf - Karel Mundnich, Brandon Booth, Michelle L’Hommedieu, Tiantian Feng, Benjamin Girault, Justin L’Hommedieu, Mackenzie Wildman, Sophia Skaaden, Amrutha Nadarajan, Jennifer Villatte, Tiago Falk, Kristina Lerman, Emilio Ferrara, and Shrikanth Narayanan. TILES-2018: A longitudinal physiologic and behavioral data set of hospital workers. Scientific Data (Nature Research), 7:354, 2020.
details doi pdf
Murray
- Thomas J. Murray, IV, Panayiotis Georgiou, and Shrikanth S. Narayanan. Knowledge as a constraint on uncertainty for unsupervised classification: A study in part-of-speech tagging. In Proceedings of the International Conference on Machine Learning (ICML), Helsinki, Finland, jul 2008.
details pdf
Nadarajan
- Amrutha Nadarajan, Krishna Somandepalli, and Shrikanth Narayanan. Speaker Agnostic Foreground Speech Detection From Audio Recordings in Workplace Settings From Wearable Recorders. In Proceedings of ICASSP, May 2019.
details
Nam
- Yoonsoo Nam, Adam Lehavi, Daniel Yang, Digbalay Bose, Swabha Swayamdipta, and Shrikanth Narayanan. Does Video Summarization Require Videos? Quantifying the Effectiveness of Language in Video Summarization. In ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 8396–8400, , April 2024.
details doi pdf
Narayanan
- Shrikanth S. Narayanan and Abeer Alwan. Text to speech synthesis: New paradigms and advances, Prentice Hall, 2004.
details - Shrikanth S. Narayanan, Abeer Alwan, and Katherine Haker. An articulatory study of fricative consonants using magnetic resonance imaging. Journal of the Acoustical Society of America, 98(3):1325–1347, sep 1995.
details doi pdf - Shrikanth S. Narayanan and Abeer Alwan. A nonlinear dynamical systems analysis of fricative consonants. Journal of the Acoustical Society of America, 97(4):2511–2524, apr 1995.
details doi pdf - Shrikanth S. Narayanan, Abeer Alwan, and Katherine Haker. Toward articulatory-acoustic models for liquid consonants based on MRI and EPG data. Part I: The laterals. Journal of the Acoustical Society of America, 101(2):1064–1077, feb 1997.
details doi pdf - Shrikanth S. Narayanan, Dani Byrd, and Abigail Kaun. Geometry, kinematics, and acoustics of Tamil liquid consonants. Journal of the Acoustical Society of America, 106(4):1993–2007, oct 1999.
details doi pdf - Shrikanth S. Narayanan and Abeer Alwan. Noise source models for fricative consonants. IEEE Transactions on Speech and Audio Processing, 8(2):328–344, mar 2000.
details doi pdf - Shrikanth S. Narayanan and Alexandros Potamianos. Creating conversational interfaces for children. IEEE Transactions on Speech and Audio Processing, 10(2):65–78 [IEEE Signal Processing Society Best Paper Award Wnner, 2005], feb 2002.
details pdf - Shrikanth S. Narayanan, Krishna S. Nayak, Sungbok Lee, Abhinav Sethy, and Dani Byrd. An Approach to Real-time Magnetic Resonance Imaging for Speech Production. Journal of the Acoustical Society of America, 115(4):1771–1776, April 2004.
details doi pdf - Shrikanth S. Narayanan, Erik Bresch, Prasanta Kumar Ghosh, Louis Goldstein, Athanasios Katsamanis, Yoon-Chul Kim, Adam Lammert, Michael I. Proctor, Vikram Ramanarayanan, and Yinghua Zhu. A Multimodal Real-Time MRI Articulatory Corpus for Speech Research. In Proceedings of Interspeech, Florence, Italy, aug 2011.
details pdf - Shrikanth S. Narayanan and Panayiotis Georgiou. Behavioral Signal Processing: Deriving Human Behavioral Informatics from Speech and Language. Proceedings of IEEE, 101(5):1203 – 1233, may 2013.
details doi pdf - Shrikanth S. Narayanan, Asterios Toutios, Vikram Ramanarayanan, Adam Lammert, Jangwon Kim, Sungbok Lee, Krishna S. Nayak, Yoon-Chul Kim, Yinghua Zhu, Louis Goldstein, Dani Byrd, Erik Bresch, Prasanta Kumar Ghosh, Athanasios Katsamanis, and Michael I. Proctor. Real-time magnetic resonance imaging and electromagnetic articulography database for speech production research (TC). J. Acoust. Soc. Am., 136(3):1307–1311, sep 2014.
details doi pdf - Shrikanth S. Narayanan and Asad M Madni. Inclusive Human centered Machine Intelligence. The Bridge, 50:113–116, National Academy of Engineering, 2020.
details pdf - Shrikanth S. Narayanan and Abeer Alwan. Strange attractors and chaotic dynamics in the production of voiced and voiceless fricatives. In Proceedings of InterSpeech, pp. 77–80, Berlin, Germany, sep 1993.
details - Shrikanth S. Narayanan, H. Shahri, D. Youtkus, and M. Luo. Fast and efficient motion compensation techniques using subband analysis. In Proceedings of the IEEE International Conference on Image Processing (ICIP), pp. 265–269, 3, Philadelphia, PA, nov 1994.
details doi - Shrikanth S. Narayanan and Abeer Alwan. Parametric hybrid source models for voiced and voiceless fricative consonants. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 377–380, Atlanta, GA, may 1996.
details doi pdf - Shrikanth S. Narayanan and Abeer Alwan. Imaging applications in speech production research. In Proceedings of the Society of Photographic Instrumentation Engineers (SPIE) Medical Imaging, pp. 120–131, 2079, Newport Beach, CA, feb 1996.
details doi pdf - Shrikanth S. Narayanan, Panayiotis Georgiou, Abhinav Sethy, Dagen Wang, Murtaza Bulut, Shiva Sundaram, Emil Ettelaie, Sankaranarayanan Ananthakrishnan, Horacio Franco, Kristin Precoda, Dimitra Vergyri, Jing Zheng, Wen Wang, Ramana Rao Gadde, Martin Graciarena, Victor Abrash, Michael Frandsen, and Colleen Richey. Speech recognition engineering issues in speech to speech translation system design for low resource languages and domains. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toulose, France, may 2006.
details doi pdf - Shrikanth S. Narayanan, Abeer Alwan, and Katherine Haker. An articulatory study of liquid approximants in American English. In Proceedings of the International Congress of Phonetic Sciences (ICPhS), pp. 576–579, 3, Stockholm, Sweden, aug 1995.
details - Shrikanth S. Narayanan. Towards modeling user behavior in human-machine interactions: Effect of errors and emotions. In Proceedings of the ISLE Workshop on Multimodal Dialog Tagging, Edinburgh, UK, dec 2002.
details pdf - Shrikanth S. Narayanan, Alexandros Potamianos, and Haohong Wang. Multimodal systems for children: Building a prototype. In Proceedings of InterSpeech, pp. 1727–1730, Budapest, Hungary, sep 1999.
details pdf - Shrikanth S. Narayanan, Giuseppe Di Fabbrizio, Candace Kamm, James Hubbell, Bruce Buntschuh, P. Ruscitti, and Jeremy H. Wright. Effects of dialog initiative and multi-modal presentation strategies on large directory information access. In Proceedings of InterSpeech, pp. 636–639, Beijing, China, oct 2000.
details pdf - Shrikanth S. Narayanan and R. Mortensen. Nonlinear filtering and smoothing for noisy alternating renewal process signals. In Proceedings of the IEEE American Control Conference, pp. 225–228, Boston, MA, jun 1991.
details - Shrikanth S. Narayanan, M. Subramaniam, B. Stern, B. Hollister, and Chih-mei Lin. The relationship between qualitative and quantitative service performance measures: Results from universal voiceline trial. In Proceedings of the Service Infrastructure Performance Symposium, pp. 162–169, Middletown, NJ, nov 1997.
details - Shrikanth S. Narayanan and Dagen Wang. Speech Rate Estimation Via Temporal Correlation and Selected Sub-band Correlation. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 413–416, 1, Philadelphia, PA, March 2005.
details doi pdf - Shrikanth S. Narayanan, Abigail Kaun, Dani Byrd, Peter Ladefoged, and Abeer Alwan. Liquids in Tamil. In Proceedings of InterSpeech, pp. 797–800, Philadelphia, PA, September 1996.
details pdf - Shrikanth S. Narayanan and Abigail Kaun. Acoustic modeling of Tamil retroflex liquids. In Proceedings of the International Congresses of Phonetic Sciences (ICPhS), pp. 2097–2100, San Francisco, CA, aug 1999.
details pdf - Shrikanth S. Narayanan, M. Subramaniam, B. Stern, B. Hollister, and Chih-mei Lin. Probing the Relationship Between Qualitative and Quantitative Performance Measures for Telecommunication Services. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 3769–3772, 1, Seattle, WA, May 1998.
details doi pdf - Shrikanth S. Narayanan, Sankaranarayanan Ananthakrishnan, Robert Belvin, Emil Ettelaie, Sudeep Gandhe, Shadi Ganjavi, Panayiotis Georgiou, C. M. Hein, S. Kadambe, Kevin Knight, Daniel Marcu, Howard E. Neely, Naveen Srinivasamurthy, David Traum, and Dagen Wang. The transonics spoken dialogue translator: An aid for English-Persian doctor-patient interviews. In Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI) Fall Symposium, pp. 97–103, Washington, D.C, oct 2004.
details pdf - Shrikanth S. Narayanan, Sankaranarayanan Ananthakrishnan, Robert Belvin, Emil Ettelaie, Shadi Ganjavi, Panayiotis Georgiou, C. M. Hein, S. Kadambe, Kevin Knight, Daniel Marcu, Howard E. Neely, Naveen Srinivasamurthy, David Traum, and Dagen Wang. Transonics: A Speech to Speech System for English-Persian Interactions. In Proceedings of the IEEE workshop on Automatic Speech Recognition and Understanding (ASRU), pp. 670–675, St.Thomas, U.S. Virgin Islands, December 2003.
details doi pdf - Shrikanth S. Narayanan, Abeer Alwan, and Yong Song. New results in vowel production: MRI, EPG, and acoustic data. In Proceedings of InterSpeech, pp. 1007–1010, 1, Rhodes, Greece, sep 1997.
details pdf - Shrikanth S. Narayanan, Abeer Alwan, and Katherine Haker. An MRI study of fricative consonants. In Proceedings of InterSpeech, pp. 627–630, 2, Yokohoma, Japan, sep 1994.
details doi
Narayanswamy
- Girish Narayanswamy, Xin Liu, Kumar Ayush, Yuzhe Yang, Xuhai Xu, shun liao, Jake Garrison, Shyam A. Tailor, Jacob Sunshine, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak Patel, Samy Abdel-Ghaffar, and Daniel McDuff. Scaling Wearable Foundation Models. In The Thirteenth International Conference on Learning Representations, 2025.
details HTML
Nashiro
- Kaoru Nashiro, Jungwon Min, Hyun Joo Yoo, Christine Cho, Shelby L Bachman, Shubir Dutt, Julian F Thayer, Paul M Lehrer, Tiantian Feng, Noah Mercer, Padideh Nasseri, Diana Wang, Catie Chang, Vasilis Marmarelis, Shrikanth Narayanan, Daniel Nation, and Mara Mather. Increasing coordination and responsivity of emotion-related brain regions with a heart rate variability biofeedback randomized trial. Cognitive, Affective, & Behavioral Neuroscience, pp. 1–18, Springer, 2022.
details doi pdf
Nasir
- Md Nasir, Brian Baucom, Panayiotis Georgiou, and Shrikanth S. Narayanan. REDUNDANCY ANALYSIS OF BEHAVIORAL CODING FOR COUPLES THERAPY AND IMPROVED ESTIMATION OF BEHAVIOR FROM NOISY ANNOTATIONS. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), apr 2015.
details doi pdf - Md Nasir, Wei Xia, Bo Xiao, Brian Baucom, Shrikanth S. Narayanan, and Panayiotis Georgiou. Still Together?: The Role of Acoustic Features in Predicting Marital Outcome. In Proceedings of Interspeech, sep 2015.
details pdf - Md Nasir, Brian Baucom, Shrikanth S. Narayanan, and Panayiotis Georgiou. A Nonlinear Dynamical Systems Approach for Dyadic Conversations. In Proceedings of Interspeech, 2016.
details pdf - Md Nasir, Naveen Kumar, Panayiotis Georgiou, and Shrikanth S. Narayanan. Robust Multichannel Gender Classification from Speech in Movie Audio. In Proceedings of Interspeech, 2016.
details doi pdf - Md Nasir, Brian Baucom, Craig J. Bryan, Shrikanth Narayanan, and Panayiotis Georgiou. Complexity in speech and its relation to emotional bond in therapist-patient interactions during suicide risk assessment interviews. In Proceedings of Interspeech, August 2017.
details pdf - MD Nasir, Brian Baucom, Panayiotis Georgiou, and Shrikanth Narayanan. Predicting Couple Therapy Outcomes Based on Speech Acoustic Features. PLoS ONE, 12(9):e0185123, 2017.
details doi pdf - Md Nasir, Brian Baucom, Shrikanth S. Narayanan, and Panayiotis Georgiou. Towards an Unsupervised Entrainment Distance in Conversational Speech using deep Neural Networks. In Proceedings of InterSpeech, Hyderabad, India, sep 2018.
details pdf - Md Nasir, Sandeep Nallan Chakravarthula, Brian Baucom, David Atkins, Panayiotis Georgiou, and Shrikanth Narayanan. Modeling Interpersonal Linguistic Coordination in Conversations using Word Mover's Distance. In In proceedings of Proceedings of Interspeech, September 2019.
details - Md Nasir, Brian Baucom, Craig Bryan, Shrikanth Narayanan, and Panayiotis Georgiou. Modeling Vocal Entrainment in Conversational Speech using Deep Unsupervised Learning. IEEE Transactions on Affective Computing, 2020.
details doi
Nava
- Emily Nava, Joseph Tepperman, Louis Goldstein, Maria Luisa Zubizarreta, and Shrikanth S. Narayanan. Connecting rhythm and prominence in automatic ESL pronunciation scoring. In Proceedings of InterSpeech, Brighton, UK, sep 2009.
details pdf
Nguyen
- Hong Nguyen, Sean Foley, Kevin Huang, Xuan Shi, Tiantian Feng, and Shrikanth Narayanan. Speech2rtMRI: Speech-Guided Diffusion Model for Real-time MRI Video of the Vocal Tract during Speech. In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1–5, , 2025.
details doi pdf - Hong Nguyen, Hoang Nguyen, Melinda Chang, Hieu Pham, Shrikanth Narayanan, and Michael Pazzani. ConPro: Learning Severity Representation for Medical Images using Contrastive Learning and Preference Optimization. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 5105–5112, 2024.
details
Oh
- Miran Oh, Dani Byrd, Louis Goldstein, and Shrikanth S Narayanan. Vertical larynx actions and intergestural timing stability in Hausa ejectives and implosives. Phonetica, pp. , De Gruyter, 2024.
details - Miran Oh, Dani Byrd, and Shrikanth S. Narayanan. Leveraging Real-Time MRI for Illuminating Linguistic Velum Action. In Proc. Interspeech 2021, pp. 3964–3968, 2021.
details doi pdf
Pace
- Brian Pace, Michael Tanana, Bo Xiao, Aaron Dembe, Christina Soma, Mark Steyvers, Shrikanth S. Narayanan, David Atkins, and Zac E. Imel. What about the words?: Natural language processing in psychotherapy. Psychotherapy Bulletin, 50(1):14–18, 2016.
details pdf
Pal
- Monisankha Pal, Manoj Kumar, Raghuveer Peri, Tae Jin Park, So Hyun Kim, Catherine Lord, Somer Bishop, and Shrikanth Narayanan. Meta-learning with Latent Space Clustering in Generative Adversarial Network for Speaker Diarization. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 29():1204–1219, 2021.
details doi pdf - Monisankha Pal, Manoj Kumar, Raghuveer Peri, TaeJin Park, SoHyun Kim, Catherine Lord, Somer Bishop, and Shrikanth Narayanan. Speaker diarization using latent space clustering in generative adversarial network. In Proceedings of ICASSP, May 2020.
details doi pdf - Monisankha Pal, Arindam Jati, Raghuveer Peri, Chin-Cheng Hsu, Wael AbdAlmageed, and Shrikanth Narayanan. ADVERSARIAL DEFENSE FOR DEEP SPEAKER RECOGNITION USING HYBRID ADVERSARIAL TRAINING. In In proceedings of ICASSP, May 2021.
details doi pdf
Palogiannidi
- Elisavet Palogiannidi, Athanasia Kolovou, Fenia Christopoulou, Filippos Kokkinos, Iosif Elias, Nikolaos Malandrakis, Harris Papageorgiou, Shrikanth S. Narayanan, and Alexandros Potamianos. Tweester: Sentiment Analysis in Twitter using Semantic-Affective Model Adaptation. In International Workshop on Semantic Evaluation (SemEval'16), NAACL-HLT, pp. 155–163, June 2016.
details pdf
Papadopoulos
- Pavlos Papadopoulos, Andreas Tsiartas, James Gibson, and Shrikanth Narayanan. A Supervised Signal-To-Noise Ratio Estimation Of Speech Signals. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), may 2014.
details doi pdf - Pavlos Papadopoulos, Andreas Tsiartas, and Shrikanth S. Narayanan. Long-term SNR Estimation of Speech Signals in Known and Unknown Channel Conditions. IEEE/ACM Transactions on Audio, Speech and Language Processing, 12(24):2495–2506, dec 2016.
details doi pdf - Pavlos Papadopoulos, Colin Vaz, and Shrikanth S. Narayanan. Noise Aware and Combined Noise Models for Speech Denoising in Unknown Noise Conditions. In Proceedings of Interspeech, 2016.
details doi pdf - Pavlos Papadopoulos, Ruchir Travadi, and Shrikanth Narayanan. Global SNR Estimation of Speech Signals for Unknown Noise Conditions using Noise Adapted Non-linear Regression. In Proceedings of Interspeech, August 2017.
details - Pavlos Papadopoulos, Ruchir Travadi, Colin Vaz, Nikolaos Malandrakis, Ulf Hermjakob, Nima Pourdamghani, Michael Pust, Boliang Zhang, Xiaoman Pan, Di Lu, Ying Lin, Ondrej Glembek, Murali Karthick B, Martin Karafiat, Lukas Burget, Mark Hasegawa-Johnson, Heng Ji, Jonathan May, Kevin Knight, and Shrikanth Narayanan. Team ELISA System for DARPA LORELEI Speech Evaluation 2016. In Proceedings of Interspeech, August 2017.
details - Pavlos Papadopoulos, Colin Vaz, and Shrikanth S. Narayanan. Exploring the Relationship between Conic Affinity of NMF Dictionaries and Speech Enhancement Metrics. In Proceedings of InterSpeech, Hyderabad, India, sep 2018.
details pdf - Pavlos Papadopoulos and Shrikanth Narayanan. Conic Affinity Measures to Design Speech Enhancement Systems Operating in Unseen Noise Conditions. In In proceedings of Interspeech, October 2020.
details
Parga
- Madeline R Parga, Shawn C Roll, Gale M Lucas, Burcin Becerik-Gerber, and Shrikanth Narayanan. Differences in Self-Rated Worker Outcomes Across Stress States: An Interim Analysis of Hybrid Worker Data. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, pp. 10711813241275500, 2024.
details
Park
- Jay Park, Hong Nguyen, Sean Foley, Jihwan Lee, Yoonjeong Lee, Dani Byrd, and Shrikanth Narayanan. Interpretable Modeling of Articulatory Temporal Dynamics from Real-Time MRI for Phoneme Recognition. In ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 18767–18771, , May 2026.
details doi HTML - Tae Jin Park, Naoyuki Kanda, Dimitrios Dimitriadis, Kyu J. Han, Shinji Watanabe, and Shrikanth Narayanan. A review of speaker diarization: Recent advances with deep learning. Computer Speech & Language, 72:101317, 2022.
details doi pdf - Tae Jin Park, Kyu Han, Manoj Kumar, and Shrikanth Narayanan. Auto-Tuning Spectral Clustering for Speaker Diarization Using Normalized Maximum Eigengap. IEEE Signal Processing Letters, 2019.
details doi - Taejin Park, Kyu Han, Jing Huang, Xiaodong He, Bowen Zhou, Panayiotis Georgiou, and Shrikanth Narayanan. Speaker Diarization with Lexical Information. In In proceedings of Proceedings of Interspeech, September 2019.
details - Taejin Park, Manoj Kumar, Nikolaos Flemotomos, Monisankha Pal, Raghuveer Peri, Rimita Lahiri, Panayiotis Georgiou, and Shrikanth Narayanan. The Second DIHARD challenge: System Description for USC-SAIL Team. In In proceedings of Proceedings of Interspeech, September 2019.
details - Taejin Park, Kyu Han, Manoj Kumar, and Shrikanth Narayanan. AUTO-TUNING SPECTRAL CLUSTERING FOR SPEAKER DIARIZATION USING NORMALIZED MAXIMUM EIGENGAP. In In proceedings of Proceedings of ICASSP, May 2021.
details - Taejin Park, Manoj Kumar, and Shrikanth Narayanan. MULTI-SCALE SPEAKER DIARIZATION WITH NEURAL AFFINITY SCORE FUSION. In In proceedings of ICASSP, May 2021.
details doi pdf
Paromita
- Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon M Booth, Shrikanth S Narayanan, and Theodora Chaspari. Modeling inter-individual differences in ambulatory-based multimodal signals via metric learning: a case study of personalized well-being estimation of healthcare workers. Frontiers in Digital Health, 5:1195795, Frontiers, 2023.
details doi pdf
Parrell
- Benjamin Parrell, Louis Goldstein, Sungbok Lee, and Dani Byrd. Temporal Coupling Between Speech and Manual Motor Actions. In Proc. 9th Intl. Seminar on Speech Production (ISSP'11), jun 2011.
details doi pdf - Benjamin Parrell and Shrikanth Narayanan. Explaining coronal reduction: prosodic structure and articulatory posture. Phonetica, 2017.
details
Patil
- Nimisha Patil, Timothy Greer, Reed Blaylock, and Shrikanth Narayanan. Comparison of Basic Beatboxing Articulations between Expert and Novice Artists using Real-Time Magnetic Resonance Imaging. In Proceedings of Interspeech, August 2017.
details pdf
Paz
- Adar Paz, Eshkol Rafaeli, Eran Bar-Kalifa, Eva Gilboa-Schectman, Sharon Gannot, Shrikanth Narayanan, and Dana Atzil-Slonim. Dampening versus amplification: Intrapersonal and interpersonal vocal affect dynamics during psychotherapy for depression. Psychotherapy Research, pp. 1–14, Taylor & Francis, 2025.
details - Adar Paz, Eshkol Rafaeli, Eran Bar-Kalifa, Eva Gilboa-Schectman, Sharon Gannot, Bracha Laufer-Goldshtein, Shrikanth Narayanan, Joseph Keshet, and Dana Atzil-Slonim. Intrapersonal and interpersonal vocal affect dynamics during psychotherapy.. Journal of Consulting and Clinical Psychology, 89(3):227, American Psychological Association, 2021.
details doi
Peri
- Raghuveer Peri, Krishna Somandepalli, and Shrikanth Narayanan. A study of bias mitigation strategies for speaker recognition. Computer Speech & Language, 79:101481, 2023.
details doi pdf - Raghuveer Peri, Haoqi Li, Krishna Somandepalli, Arindam Jati, and Shrikanth Narayanan. An empirical analysis of information encoded in disentangled neural speaker representations. In Proceedings of Odyssey, pp. 194–201, November 2020.
details doi pdf - Raghuveer Peri, Monisankha Pal, Arindam Jati, Krishna Somandepalli, and Shrikanth Narayanan. Robust speaker recognition using unsupervised adversarial invariance. In Proceedings of ICASSP, May 2020.
details doi pdf
Petrogianni
- Antonia Petrogianni, Lefteris Kapelonis, Nikolaos Antoniou, Sofia Eleftheriou, Petros Mitseas, Dimitrios Sgouropoulos, Nassos Katsamanis, Theodoros Giannakopoulos, and Shrikanth Narayanan. RobuSER: A robustness benchmark for Speech Emotion Recognition. In 2024 12th International Conference on Affective Computing and Intelligent Interaction (ACII), pp. 1–8, , 2024.
details pdf
Petrosyan
- Sarah Petrosyan, Iris M Strangmann, Emma Nichols, Erik Meijer, Emily M Brice no, Shrikanth Narayanan, Jinkook Lee, and Miguel Arce Rentería. The association of multilingualism with diverse language families and cognition among adults with and without education in India.. Neuropsychology, 39(3):223 [Editor’s Choice selection], American Psychological Association, 2025.
details doi HTML
Potamianos
- Alexandros Potamianos and Shrikanth S. Narayanan. Robust recognition of children’s speech. IEEE Transactions on Speech and Audio Processing, 11(6):603–616, nov 2003.
details doi pdf - Alexandros Potamianos, Shrikanth S. Narayanan, and Giuseppe Riccardi. Adaptive categorical understanding for spoken dialog systems. IEEE Transactions on Speech and Audio Processing, 13(3):321–329, may 2005.
details pdf - Alexandros Potamianos, Giuseppe Riccardi, and Shrikanth S. Narayanan. Categorical understanding using statistical N-gram models. In Proceedings of InterSpeech, pp. 2027–2030, Budapest, Hungary, sep 1999.
details pdf - Alexandros Potamianos and Shrikanth S. Narayanan. Spoken dialog systems for children. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 197–200, 1, Seattle, WA, may 1998.
details pdf - Alexandros Potamianos, Shrikanth S. Narayanan, and Sungbok Lee. Automatic speech recognition for children. In Proceedings of InterSpeech, pp. 2371–2374, 5, Rhodes, Greece, sep 1997.
details pdf
Prakash
- Preethi Prakash, Kelly Street, Shrikanth Narayanan, Bridget A Fernandez, Yufeng Shen, and Chang Shu. Benchmarking machine learning missing data imputation methods in large-scale mental health survey databases. Artificial Intelligence in Health, 2(1):81–92, AccScience Publishing, 2024.
details
Pranjal
- Ravi Pranjal, Ranjana Seshadri, Rakesh Kumar Sanath Kumar Kadaba, Tiantian Feng, Shrikanth Narayanan, and Theodora Chaspari. Toward privacy-enhancing ambulatory-based well-being monitoring: Investigating user re-identification risk in multimodal data. In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1–5, , 2023.
details doi pdf
Prasad
- Abhay Prasad, Prasanta Kumar Ghosh, and Shrikanth Narayanan. Selection of optimal vocal tract regions using real-time magnetic resonance imaging for robust voice activity detection. In Proceedings of Interspeech, sep 2014.
details
Price
- Patti Price, Joseph Tepperman, Markus Iseli, Thao Duong, Matthew P. Black, Shizhen Wang, Christy Kim Boscardin, Margaret Heritage, P. David Pearson, Shrikanth S. Narayanan, and Abeer Alwan. Assessment of emerging reading skills in young native speakers and language learners. Speech Communication, 51(10):968–984, oct 2009.
details doi pdf
Proctor
- Michael I. Proctor, Louis Goldstein, Dani Byrd, Erik Bresch, and Shrikanth S. Narayanan. Articulatory comparison of Tamil liquids and stops using real-time Magnetic Resonance Imaging.. Journal of the Acoustical Society of America, 125(4):2568–2568, 2009.
details doi pdf - Michael I. Proctor, Krishna S. Nayak, and Shrikanth S. Narayanan. Para-Linguistic Mechanisms of Production in Human ’Beatboxing’: a Real-time MRI Study. In Proceedings of InterSinging 2010, oct 2010.
details doi pdf - Michael I. Proctor, Daniel Bone, Athanasios Katsamanis, and Shrikanth S. Narayanan. Rapid Semi-automatic Segmentation of Real-time Magnetic Resonance Images for Parametric Vocal Tract Analysis. In Proceedings of InterSpeech, pp. 1576–1579, Makuhari, Japan, September 2010.
details pdf - Michael I. Proctor, Adam Lammert, Louis Goldstein, and Shrikanth S. Narayanan. Temporal analysis of articulatory speech errors using direct image analysis of real time magnetic resonance imaging. Journal of the Acoustical Society of America, 128(4):2289–2289, 2010.
details doi pdf - Michael I. Proctor, Li Hsuan Lu, Yinghua Zhu, Louis Goldstein, and Shrikanth S. Narayanan. Articulation of Mandarin Sibilants: A Multi-plane Realtime MRI Study. In Proceedings of the 14th Australasian International Conference on Speech Science and Technology, December 2012.
details pdf - Michael I. Proctor, Erik Bresch, Dani Byrd, Krishna S. Nayak, and Shrikanth S. Narayanan. Paralinguistic Mechanisms of Production in Human 'Beatboxing:' a Real-time Magnetic Resonance Imaging Study. Journal of the Acoustical Society of America, 133(2):1043–1054, feb 2013.
details doi pdf - Michael I. Proctor, Louis Goldstein, Adam Lammert, Dani Byrd, Asterios Toutios, and Shrikanth S. Narayanan. Velic Coordination in French Nasals: a Realtime Magnetic Resonance Imaging Study. In Proceedings of InterSpeech, aug 2013.
details pdf - Michael I. Proctor, Chi Yhun Lo, and Shrikanth S. Narayanan. Articulation Of English Vowels In Running Speech: A Real-time MRI Study. In Proceedings of International Congress of Phonetic Sciences (ICPhS 2015), aug 2015.
details pdf - Michael I. Proctor, Yinghua Zhu, Adam Lammert, Asterios Toutios, Bonny Sands, Ulrich Hummel, and Shrikanth S. Narayanan. Click consonant production in Khoekhoe: a real-time MRI study, pp. 337–366, Khoisan Languages and Linguistics, Rüdiger Köppe, Cologne, 2016.
details pdf - Michael Proctor, Rachel Walker, Caitlin Smith, Tünde Szalay, Louis Goldstein, and Shrikanth Narayanan. Articulatory Characterization of English Liquid-Final Rimes. J. Phonetics, 77:100921, 2019.
details doi pdf - Michael I. Proctor, Adam Lammert, Athanasios Katsamanis, Louis Goldstein, Christina Hagedorn, and Shrikanth S. Narayanan. Direct Estimation of Articulatory Kinematics from Real-time Magnetic Resonance Image Sequences. In Proceedings of Interspeech, Florence, Italy, aug 2011.
details pdf
Qin
- Xiaoyi Qin, Ming Li, Hui Bu, Wei Rao, Rohan Das, Shrikanth Narayanan, and Haizhou Li. The INTERSPEECH 2020 Far-Field Speaker Verification Challenge. In In proceedings of Interspeech, October 2020.
details pdf
Rahim
- Mazin Rahim, Roberto Pieraccini, Wieland Eckert, Esther Levin, Giuseppe Di Fabbrizio, Giuseppe Riccardi, Candace Kamm, and Shrikanth S. Narayanan. A spoken dialog system for conference/workshop services. In Proceedings of InterSpeech, pp. 736–739, Beijing, China, oct 2000.
details pdf
Ramakrishna
- Anil Ramakrishna, Nikolaos Malandrakis, Elizabeth Staruk, and Shrikanth S. Narayanan. A quantitative analysis of gender differences In movies using psycholinguistic normatives. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1996–2001, Association for Computational Linguistics, sep 2015.
details doi pdf - Anil Ramakrishna, Rahul Gupta, Ruth Grossman, and Shrikanth S. Narayanan. An Expectation Maximization Approach to Joint Modeling of Multidimensional Ratings Derived from Multiple Annotators. In Proceedings of Interspeech, 2016.
details doi pdf - Anil Ramakrishna, Victor Martinez, Nikolaos Malandrakis, Karan Singla, and Shrikanth Narayanan. Linguistic analysis of differences in portrayal of movie characters. In InProceedings of Association for Computational Linguistics, July 2017.
details doi pdf - Anil Ramakrishna, Timothy Greer, David Atkins, and Shrikanth S. Narayanan. Computational modeling of conversational humor in psychotherapy. In Proceedings of InterSpeech, Hyderabad, India, sep 2018.
details pdf - Anil Ramakrishna, Rahul Gupta, and Shrikanth Narayanan. Joint Multi-Dimensional Model for Global and Time-Series Annotations. IEEE Transactions on Affective Computing, 13(1):473–484, 2022.
details doi pdf - Anil Ramakrishna and Shrikanth Narayanan. Sentence level estimation of psycholinguistic norms using joint multidimensional annotations. In In proceedings of Interspeech, October 2020.
details doi pdf
Ramanarayanan
- Vikram Ramanarayanan, Erik Bresch, Dani Byrd, Louis Goldstein, and Shrikanth S. Narayanan. Analysis of pausing behavior in spontaneous speech using real-time magnetic resonance imaging of articulation. Journal of the Acoustical Society of America Express Letters, 126(5):EL160–EL165, oct 2009.
details doi pdf - Vikram Ramanarayanan, Erik Bresch, Dani Byrd, Louis Goldstein, and Shrikanth S. Narayanan. Real-time MRI tracking of articulation during grammatical and ungrammatical pauses in speech. In Proceedings of the Meeting of the Acoustical Society of America, Portland, Oregon, may 2009.
details doi - Vikram Ramanarayanan, Dani Byrd, Louis Goldstein, and Shrikanth S. Narayanan. A joint acoustic-articulatory study of nasal spectral reduction in read versus spontaneous speaking styles. In Proceedings of the Speech Prosody Conference, Chicago, Illinois, may 2010.
details pdf - Vikram Ramanarayanan, Dani Byrd, Louis Goldstein, and Shrikanth S. Narayanan. Investigating Articulatory Setting—Pauses, Ready Position, and Rest—Using Real-Time MRI. In Proceedings of InterSpeech, Makuhari, Japan, sep 2010.
details pdf - Vikram Ramanarayanan, Dani Byrd, Louis Goldstein, and Shrikanth S. Narayanan. An MRI study of articulatory settings of L1 and L2 speakers of American English. In Proc. International Seminar on Speech Production (ISSP'11), jun 2011.
details pdf - Vikram Ramanarayanan, Adam Lammert, Dani Byrd, Louis Goldstein, and Shrikanth S. Narayanan. Planning and execution in soprano singing and speaking behavior: An acoustic/articulatory study using real‐time MRI. In Proc. International Seminar on Speech Production (ISSP'11), jun 2011.
details doi pdf - Vikram Ramanarayanan, Prasanta Kumar Ghosh, Adam Lammert, and Shrikanth S. Narayanan. Exploiting speech production information for automatic speech and speaker modeling and recognition – possibilities and new opportunities. In Proceedings of APSIPA Annual Summit and Conference, dec 2012.
details pdf - Vikram Ramanarayanan, Louis Goldstein, Dani Byrd, and Shrikanth S. Narayanan. An Investigation of Articulatory Setting Using Real-time Magnetic Resonance Imaging. The Journal of the Acoustical Society of America, 134(1):510–519, July 2013.
details doi pdf - Vikram Ramanarayanan, Adam Lammert, Louis Goldstein, and Shrikanth S. Narayanan. Articulatory settings facilitate mechanically advantageous motor control of vocal tract articulators. In Proceedings of InterSpeech, aug 2013.
details pdf - Vikram Ramanarayanan, Maarten Van Segbroeck, and Shrikanth S. Narayanan. On the nature of data-driven primitive representations of speech articulation. In ISCA Workshop on Speech Production in Automatic Speech Recognition (SPASR), aug 2013.
details pdf - Vikram Ramanarayanan, Louis Goldstein, and Shrikanth S. Narayanan. Spatio-temporal articulatory movement primitives during speech production -- extraction, interpretation and validation. J. Acoust. Soc. Am., 134(2):1378–1394, aug 2013.
details doi pdf - Vikram Ramanarayanan, Adam Lammert, Louis Goldstein, and Shrikanth S. Narayanan. Are articulatory settings mechanically advantageous for speech motor control?. PLoS One, 9(8):e104168, aug 2014.
details doi pdf - Vikram Ramanarayanan, Louis Goldstein, and Shrikanth Narayanan. Motor control primitives arising from a learned dynamical systems model of speech articulation. In Proceedings of Interspeech, sep 2014.
details doi pdf - Vikram Ramanarayanan, Maarten Van Segbroeck, and Shrikanth S. Narayanan. Directly data-derived articulatory gesture-like representations retain discriminatory information about phone categories. Computer, Speech, and Language, mar 2015.
details doi pdf - Vikram Ramanarayanan, Sam Tilsen, Michael Proctor, Johannes Töger, Louis Goldstein, Krishna Nayak, and Shrikanth S. Narayanan. Analysis of Speech Production Real-Time MRI. Computer Speech and Language, 52:1–22, nov 2018.
details doi pdf - Vikram Ramanarayanan, Athanasios Katsamanis, and Shrikanth S. Narayanan. Automatic Data-Driven Learning of Articulatory Primitives from Real-time MRI Data using Convolutive NMF with Sparseness Constraints. In Proceedings of Interspeech, Florence, Italy, aug 2011.
details pdf
Rangarajan
- Vivek Rangarajan and Shrikanth S. Narayanan. Detection of non-native named entities using prosodic features for improved speech recognition and translation. In Proceedings of the International Speech Communication Association (ISCA) Multiling Workshop, Stellenbosch, South Africa, apr 2006.
details pdf - Vivek Rangarajan, Srinivas Bangalore, and Shrikanth S. Narayanan. Exploiting acoustic and syntactic features for prosody labeling in a maximum entropy framework. In Proceedings of the Human Language Technologies (HLT) Conference, pp. 797–811, Rochester, NY, apr 2007.
details doi pdf - Vivek Rangarajan and Shrikanth S. Narayanan. Analysis of disfluent repetitions in spontaneous speech recognition. In Proceedings of the European Signal Processing Conference (EUSIPCO), Florence, Italy, sep 2006.
details pdf - Vivek Rangarajan, Srinivas Bangalore, and Shrikanth S. Narayanan. Enriching spoken language translation with dialog acts. In Proceedings of the Association for Computational Linguistics (ACL) Conference, pp. 225–228, Columbus, Ohio, jun 2008.
details doi pdf - Vivek Rangarajan, Srinivas Bangalore, and Shrikanth S. Narayanan. Acoustic-syntactic maximum entropy model for automatic prosody labeling. In Proceedings of the IEEE/ACL 2006 Workshop on Spoken Language Technology, pp. 74–77, Palm Beach, Aruba, dec 2006.
details doi pdf - Vivek Rangarajan, Srinivas Bangalore, and Shrikanth S. Narayanan. Factored translation models for enriching spoken language translation with prosody. In Proceedings of InterSpeech, pp. 2723–2726, Brisbane, Australia, sep 2008.
details pdf - Vivek Rangarajan, Srinivas Bangalore, and Shrikanth S. Narayanan. Modeling the intonation of discourse segments for improved online dialog act tagging. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 5033–5036, Las Vegas, Nevada, apr 2008.
details doi pdf - Vivek Rangarajan, Ani Nenkova, Shrikanth S. Narayanan, and Dan Jurafsky. Detecting prominence in conversational speech: Pitch accent, givenness and focus. In Proceedings of the Speech Prosody Conference, pp. 453–456, Campinas, Brazil, may 2008.
details pdf - Vivek Rangarajan, Srinivas Bangalore, and Shrikanth S. Narayanan. Exploiting prosodic features for dialog act tagging in a discriminative modeling framework. In Proceedings of InterSpeech, pp. 150–153, Antwerp, Belgium, aug 2007.
details doi pdf - Vivek Rangarajan, Srinivas Bangalore, and Shrikanth S. Narayanan. Exploiting acoustic and syntactic features for automatic prosody labeling in a maximum entropy framework. IEEE Transactions on Audio, Speech, and Language Processing, 16(4):797–811, may 2008.
details doi pdf
Rao
- Nithin Rao, Manoj Kumar, So Hyun Kim, Catherine Lord, and Shrikanth Narayanan. Meta-learning for robust child-adult classification from speech. In Proceedings of ICASSP, May 2020.
details doi pdf
Ravuri
- Vinesh Ravuri, Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon M Booth, Shrikanth S Narayanan, and Theodora Chaspari. Group-specific models of healthcare workers’ well-being using iterative participant clustering. In 2020 Second International Conference on Transdisciplinary AI (TransAI), pp. 115–118, 2020.
details doi pdf - Vinesh Ravuri, Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon M. Booth, Shrikanth S. Narayanan, and Theodora Chaspari. Investigating Group-Specific Models of Hospital Workers’ Well-Being: Implications for Algorithmic Bias. International Journal of Semantic Computing, 14(04):477–499, 2020.
details doi pdf
Riccardi
- Giuseppe Riccardi, Alexandros Potamianos, and Shrikanth S. Narayanan. Language model adaptation for spoken language systems. In Proceedings of InterSpeech, pp. 2327–2330, Sydney, Australia, nov 1998.
details pdf
Richard
- Gael Richard, Shiva Sundaram, and Shrikanth S. Narayanan. An Overview on Perceptually Motivated Audio Indexing and Classification. Proceedings of IEEE, 101(9):1939 – 1954, sep 2013.
details doi
Roque
- Antonio Roque, Anton Leuski, Vivek Rangarajan, Susan Robinson, Ashish Vaswani, Shrikanth S. Narayanan, and David Traum. Radiobot-CFF: A Spoken Dialogue System for Military Training. In Proceedings of InterSpeech, September 2006.
details pdf
Rose
- Richard Rose, S. Parthasarathy, Bojana Gajic, Aaron Rosenberg, and Shrikanth S. Narayanan. On the implementation of ASR algorithms for hand-held wireless mobile devices. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 17–20, Salt Lake City, Utah, may 2001.
details doi pdf - Richard Rose, Bojana Gajic, Shrikanth S. Narayanan, S. Parthasarathy, and Aaron Rosenberg. Automatic speech recognition for mobile communication devices. In Proceedings of the IEEE Nordic Signal Processing Symposium (NORSIG), Kolmården, Sweden, jun 2000.
details
Rostami
- Mohammad Rostami, Digbalay Bose, Shrikanth Narayanan, and Aram Galstyan. Domain Adaptation for Sentiment Analysis Using Robust Internal Representations. In Findings of the Association for Computational Linguistics: EMNLP 2023, pp. 11484–11498, Association for Computational Linguistics, Singapore, December 2023.
details doi HTML
Rozgic
- Viktor Rozgic, Carlos Busso, Panayiotis Georgiou, and Shrikanth S. Narayanan. Multimodal meeting monitoring: Improvements on speaker tracking and segmentation through a modified mixture particle filter. In Proceedings of IEEE International Workshop on Multimedia Signal Processing (MMSP), pp. 60–65, Chania, Greece, oct 2007.
details doi pdf - Viktor Rozgic, Kyu Jeong Han, Panayiotis Georgiou, and Shrikanth S. Narayanan. Multimodal speaker segmentation in presence of overlapped speech segments. In Proceedings of the IEEE International Symposium on Multimedia (ISM), pp. 679–684, Berkeley, CA, dec 2008.
details doi pdf - Viktor Rozgic, Bo Xiao, Athanasios Katsamanis, Brian Baucom, Panayiotis Georgiou, and Shrikanth S. Narayanan. A new multichannel multimodal dyadic interaction database. In Proceedings of InterSpeech, Makuhari, Japan, sep 2010.
details pdf - Viktor Rozgic, Kyu Jeong Han, Panayiotis Georgiou, and Shrikanth S. Narayanan. Multimodal speaker segmentation and identification in presence of overlapped speech segments. Journal of Multimedia, Special Issue on Data Semantics and Multimedia Information Management, 5(4):322–331, mar 2010.
details doi pdf - Viktor Rozgic, Bo Xiao, Athanasios Katsamanis, Brian Baucom, Panayiotis Georgiou, and Shrikanth S. Narayanan. Estimation of ordinal approach-avoidance labels in dyadic interactions: ordinal logistic regression approach. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), may 2011.
details doi pdf
Sapkota
- Paban Sapkota, Hemant Kumar Kathania, Shrikanth Narayanan, and Sudarsana Reddy Kadiri. Addressing Dysarthric Speech Variability with Severity-Aware Fine-Tuning of Transformer-Based Wav2vec2 ASR Models: P. Sapkota, HK Kathania, S. Narayanan, SR Kadiri. Circuits, Systems, and Signal Processing, pp. 1–41, Springer, 2026.
details - Paban Sapkota, Harsh Srivastava, Hemant Kumar Kathania, Shrikanth Narayanan, and Sudarsana Reddy Kadiri. Do all features matter? Layer-wise feature probing of self-supervised speech models for dysarthria severity classification. Speech Communication, 175:103326, 2025.
details doi HTML
Schuller
- Bjorn Schuller, Stefan Steidl, Anton Batliner, Felix Burkhardt, Laurence Devillers, Christian Muller, and Shrikanth S. Narayanan. The INTERSPEECH 2010 Paralinguistic Challenge. In Proceedings of InterSpeech, Makuhari, Japan, sep 2010.
details pdf - Bjorn Schuller, Simone Hantke, Felix Weninger, Wenjing Han, Zixing Zhang, and Shrikanth S. Narayanan. Automatic Recognition of Emotion Evoked by General Sound Events. In Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP), mar 2012.
details doi pdf - Bjorn Schuller, Stefan Steidl, Anton Batliner, Felix Burkhardt, Laurence Devillers, Christian Muller, and Shrikanth S. Narayanan. Paralinguistics in Speech and Language--State-of-the-Art and the Challenge. Computer, Speech, and Language, 27(1):4–39, jan 2013.
details doi pdf
Sebastian
- Jilt Sebastian, Manoj Kumar, Pavan Kumar D S., Mathew Magimai Doss, Hema Murthy, and Shrikanth S. Narayanan. Denoising and Raw-waveform Networks for Weakly-Supervised Gender Identification on Noisy Speech. In Proceedings of InterSpeech, Hyderabad, India, sep 2018.
details pdf
Sethy
- Abhinav Sethy, Panayiotis Georgiou, and Shrikanth S. Narayanan. Text data acquisition for domain-specific language models. In Proceedings of the Conference on Empirical Methods on Natural Language Processing (EMNLP), pp. 382–389, Sydney, Australia, jul 2006.
details pdf - Abhinav Sethy and Shrikanth S. Narayanan. Split-lexicon based hierarchical recognition of speech using syllable and word level acoustic units. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 772–775, Hong Kong, apr 2003.
details doi pdf - Abhinav Sethy, Panayiotis Georgiou, and Shrikanth S. Narayanan. Building topic specific language models from webdata using competitive models. In Proceedings of InterSpeech, pp. 1293–1296, Lisbon, Portugal, oct 2005.
details pdf - Abhinav Sethy, Bhuvana Ramabhadran, and Shrikanth S. Narayanan. Improvements in English ASR for the Malach project using syllable-centric models. In Proceedings of the IEEE workshop on Automatic Speech Recognition and Understanding (ASRU), pp. 129–134, St. Thomas, U.S. Virgin Islands, dec 2003.
details doi pdf - Abhinav Sethy and Shrikanth S. Narayanan. Measuring convergence in language model estimation using relative entropy. In Proceedings of InterSpeech, pp. 1057–1060, Jeju Island, Korea, oct 2004.
details pdf - Abhinav Sethy, Nicolaus Mote, Shrikanth S. Narayanan, and Lewis Johnson. Modeling and automating detection of errors in Arabic language learner speech. In Proceedings of InterSpeech, pp. 177–180, Lisbon, Portugal, oct 2005.
details pdf - Abhinav Sethy and Shrikanth S. Narayanan. Refined speech segmentation for concatenative synthesis. In Proceedings of InterSpeech, Denver, CO, sep 2002.
details pdf - Abhinav Sethy, Shrikanth S. Narayanan, and Bhuvana Ramabhadran. Data driven approach for language model adaptation using stepwise relative entropy minimization. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 177–180, Honolulu, Hawaii, apr 2007.
details pdf - Abhinav Sethy, Shrikanth S. Narayanan, and S. Parthasarathy. A syllable based approach for improved recognition of spoken names. In Proceedings of the International Speech Communication Association (ISCA) Pronunciation Modeling and Lexicon Adaptation Workshop, pp. 1–4, Estes Park, Colorado, sep 2002.
details pdf - Abhinav Sethy, Panayiotis Georgiou, and Shrikanth S. Narayanan. Selecting relevant text subsets from web-data for building topic specific language models. In Proceedings of the Human Language Technologies (HLT) Conference, pp. 145–148, New York City, New York, jun 2006.
details pdf - Abhinav Sethy, Shrikanth S. Narayanan, and S. Parthasarathy. A Split Lexicon Approach for Improved Recognition of Spoken Names. Speech Communication, 48(9):1126–1136, September 2006.
details pdf - Abhinav Sethy, Panayiotis Georgiou, Bhuvana Ramabhadran, and Shrikanth S. Narayanan. An iterative relative entropy minimization based data selection approach for n-gram model adaptation. IEEE Transactions on Audio, Speech, and Language Processing, 17(1):13–23, jan 2009.
details doi pdf - Abhinav Sethy, Stanley Chen, Ebru Arisoy, Bhuvana Ramabhadran, Kartik Audhkhasi, Shrikanth S. Narayanan, and Paul Vozila. Joint Training of Interpolated Exponential N-gram Models. In Proceedings of IEEE Workshop on Automatic Speech Recognition and Understanding, pp. 25–30, December 2013.
details doi pdf
Seyedrezaei
- Mirmahdi Seyedrezaei, Burcin Becerik-Gerber, Shawn C Roll, Gale Lucas, and Shrikanth Narayanan. How Environmental Conditions Shape Workload in Hybrid Work: A Longitudinal Mediation Analysis. Building and Environment, pp. 114973, Elsevier, 2026.
details
Sgouropoulos
- Dimitrios Sgouropoulos, Petros Mitseas, Sofia Eleftheriou, Theodoros Giannakopoulos, Antonia Petrogianni, Lefteris Kapelonis, Nikolaos Antoniou, Nassos Katsamanis, and Shrikanth Narayanan. Emotion-aware speech popularity prediction: a use-case on TED talks. In 2024 12th International Conference on Affective Computing and Intelligent Interaction (ACII), pp. 1–8, , 2024.
details pdf
Shah
- Dhaval Shah, Kyu Jeong Han, and Shrikanth S. Narayanan. A low-complexity dynamic face-voice feature fusion approach to multimodal person recognition. In Proceedings of the IEEE International Symposium on Multimedia (ISM), San Diego, California, dec 2009.
details doi pdf - Dhaval Shah, Kyu Jeong Han, and Shrikanth S. Narayanan. Robust Multimodal Person Recognition Using Low-Complexity Audio-Visual Feature Fusion Approaches. International Journal of Semantic Computing, 4(2):155–179, World Scientific, 2010.
details doi pdf
Sharma
- Rahul Sharma and Shrkanth Narayanan. Audio-Visual Activity Guided Cross-Modal Identity Association for Active Speaker Detection. IEEE Open Journal of Signal Processing, ():1–9, 2023.
details doi pdf - Rahul Sharma, Krishna Somandepalli, and Shrikanth Narayanan. Cross modal video representations for weakly supervised active speaker localization. IEEE Transactions on Multimedia, ():1–12, 2022.
details doi pdf
Sharon
- Rini Sharon, Shrikanth Narayanan, Mriganka Sur, and Hema Murthy. An Empirical Study of Speech Processing in the Brain by Analyzing the Temporal Syllable Structure in Speech-input Induced EEG. In Proceedings of ICASSP, May 2019.
details - Rini Sharon, Shrikanth Narayanan, Mriganka Sur, and Hema Murthy. Neural Speech Decoding During Audition, Imagination and Production. IEEE Access, 8:149714 – 149729, August 2020.
details doi pdf
Shen
- Lue Shen, Anfeng Xu, Lindsay K. Butler, Karen Chenausky, Marc Maffei, Shrikanth Narayanan, and Helen Tager-Flusberg . Conversational Latency in Autistic Children With Heterogeneous Spoken Language Abilities. Journal of Speech, Language, and Hearing Research, 68(5):2386–2398, 2025.
details doi HTML
Shi
- Xuan Shi, Tiantian Feng, Jay Park, Christina Hagedorn, Louis Goldstein, and Shrikanth Narayanan. Speech acoustics to rt-MRI articulatory dynamics inversion with video diffusion model. Computer Speech & Language, pp. 101928, Elsevier, 2025.
details HTML - Xuan Shi, Yubin Zhang, Yijing Lu, Marcus Ma, Tiantian Feng, Asterios Toutios, Haley Hsu, Louis Goldstein, and Shrikanth Narayanan. 75-Speaker Annot-16: A benchmark dataset for speech articulatory rt-MRI annotation with articulator contours and phonetic alignment. In Interspeech 2025, pp. 2175–2179, 2025.
details doi HTML - Zhonghao Shi, Xuan Shi, Anfeng Xu, Tiantian Feng, Harshvardhan Srivastava, Shrikanth Narayanan, and Maja Mataric. Examining Test-Time Adaptation for Personalized Child Speech Recognition. In Interspeech 2025, pp. 2820–2824, 2025.
details doi HTML - Xuan Shi, Tiantian Feng, Kevin Huang, Sudarsana Reddy Kadiri, Jihwan Lee, Yijing Lu, Yubin Zhang, Louis Goldstein, and Shrikanth Narayanan. Direct articulatory observation reveals phoneme recognition performance characteristics of a self-supervised speech model. JASA Express Letters, 4(11):114801, 11 2024.
details doi HTML - Xuan Shi, Erica Cooper, Xin Wang, Junichi Yamagishi, and Shrikanth Narayanan. Can Knowledge of End-to-End Text-to-Speech Models Improve Neural MIDI-to-Audio Synthesis Systems?. In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1–5, , 2023.
details doi pdf
Shield
- Aaron Shield, Xin Wang, Daniel Bone, Shrikanth Narayanan, and Ruth Grossman. Conversational correlates of rapid social judgments of children and adolescents with and without ASD. Clinical Linguistics & Phonetics, pp. 1–13, Taylor & Francis, 2020. PMID: 32520595
details doi pdf
Shih
- Hsuan-Huei Shih, Shrikanth S. Narayanan, and C.-C. Jay Kuo. A statistical approach to humming recognition. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. IV–4175, Orlando, FL, may 2002.
details doi pdf - Hsuan-Huei Shih, Shrikanth S. Narayanan, and C.-C. Jay Kuo. Multidimensional humming transcription using a statistical approach for query by humming systems. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 385–388, Hong Kong, apr 2003.
details doi pdf - Hsuan-Huei Shih, Shrikanth S. Narayanan, and C.-C. Jay Kuo. An HMM-based Approach to Humming Transcription. In Proceedings of the IEEE International Conference on Multimedia & Expo (ICME), pp. 337–340, Lausanne, Switzerland, August 2002.
details doi pdf - Hsuan-Huei Shih, Shrikanth S. Narayanan, and C.-C. Jay Kuo. A Statistical Multidimensional Humming Transcription Using Phone Level Hidden Markov Models for Query by Humming Systems. In Proceedings of the IEEE International Conference on Multimedia & Expo (ICME), pp. 61–64, 1, Baltimore, MD, July 2003.
details doi pdf - Hsuan-Huei Shih, Shrikanth S. Narayanan, and C.-C. Jay Kuo. Comparison of dictionary-based approaches to automatic repeating melody extraction. In Proceedings of Electronic Imaging (EI) Conference, pp. 306–317, 4676, San Jose, CA, jan 2002.
details doi pdf - Hsuan-Huei Shih, Shrikanth S. Narayanan, and C.-C. Jay Kuo. Automatic main melody extraction from MIDI files with a modified Lempel-Ziv Algorithm. In Proceedings of the International Symposium on Intelligent Multimedia, Video and Speech Processing, pp. 9–12, Kowloon Shangri-La, Hong Kong, may 2001.
details doi pdf - Hsuan-Huei Shih, Shrikanth S. Narayanan, and C.-C. Jay Kuo. Music indexing with extracted main melody by using modified Lempel-Ziv algorithm. In Proceedings of the International Symposium on The Convergence of Information Technologies and Communications (ITCom), pp. 124–135, Denver, CO, aug 2001.
details doi pdf - Hsuan-Huei Shih, Shrikanth S. Narayanan, and C.-C. Jay Kuo. A dictionary approach to repetitive pattern finding in music. In Proceedings of the IEEE International Conference on Multimedia and Expo (ICME), pp. 281–284, Tokyo, Japan, aug 2001.
details doi pdf
Shin
- JongHo Shin, Panayiotis Georgiou, and Shrikanth S. Narayanan. User modeling in a speech translation driven mediated interaction setting. In Proceedings of the International Workshop on Human-Centered Multimedia (HCM), pp. 75–80, Santa Barbara, CA, oct 2006.
details doi pdf - JongHo Shin, Panayiotis Georgiou, and Shrikanth S. Narayanan. Analyzing the Multimodal Behaviors of Users of a Speech-to-Speech Translation Device by Using Concept Matching Scores. In Proceedings of the IEEE International Workshop on Multimedia Signal Processing (MMSP), pp. 259–263, Chania, Greece, October 2007.
details doi pdf - JongHo Shin, Shrikanth S. Narayanan, Laurie Gerber, Abe Kazemzadeh, and Dani Byrd. Analysis of user behavior under error conditions in spoken dialogs. In Proceedings of InterSpeech, pp. 2069–2072, Denver, CO, sep 2002.
details pdf - JongHo Shin, Panayiotis Georgiou, and Shrikanth S. Narayanan. Towards modeling user behavior in interactions mediated through an automated bidirectional speech translation system. Computer Speech and Language, 24(2):232–256, April 2010.
details doi pdf - JongHo Shin, Panayiotis Georgiou, and Shrikanth S. Narayanan. Enabling Effective Design of Multimodal Interfaces for Speech-to-Speech Translation System: An Empirical Study of Longitudinal User Behaviors over Time and User Strategies for Coping with Errors. Computer, Speech, and Language, 27(2):554–571, feb 2013.
details doi pdf
Shivakumar
- Prashanth Gurunath Shivakumar, Somer Bishop, Catherine Lord, and Shrikanth Narayanan. Phone duration modeling for speaker age estimation in children. The Journal of the Acoustical Society of America, 152(5):3000–3009, Acoustical Society of America, 2022.
details doi pdf - Prashanth Gurunath Shivakumar, Panayiotis Georgiou, and Shrikanth S. Narayanan. Confusion2Vec 2.0: Enriching ambiguous spoken language representations with subwords. PLoS ONE, 17(3):1–20, Public Library of Science, 03 2022.
details doi pdf
Shivakumar}
- Prashanth Gurunath Shivakumar and Shrikanth Narayanan. End-to-end neural systems for automatic children speech recognition: An empirical study. Computer Speech & Language, 72:101289, 2022.
details doi pdf
Siam
- Shakhrul Iman Siam, Tiantian Feng, Jiankun Zhang, Shrikanth Narayanan, and Mi Zhang. RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification. In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 1316–1330, Association for Computational Linguistics, San Diego, California, United States, July 2026.
details HTML
Silva
- Jorge Silva and Shrikanth S. Narayanan. Universal consistency of data-driven partitions for divergence estimation. In Proceedings of the IEEE International Symposium on Information Theory (ISIT), pp. 2021–2025, Nice, France, jun 2007.
details doi pdf - Jorge Silva and Shrikanth S. Narayanan. Histogram-based estimation for the divergence revisited. In Proceedings of the IEEE International Symposium on Information Theory (ISIT), pp. 468–472, Seoul, Korea, jun 2009.
details doi pdf - Jorge Silva and Shrikanth S. Narayanan. Upper bound Kullback-Leibler divergence for hidden Markov models with application as discrimination measure for speech recognition. In Proceedings of the IEEE International Symposium on Information Theory (ISIT), pp. 2299–2303, Seattle, WA, jul 2006.
details doi pdf - Jorge Silva and Shrikanth S. Narayanan. Minimum probability of error signal representation. In Proceedings of the IEEE Machine Learning for Signal Processing (MLSP) Workshop, pp. 348–353, Thessaloniki, Greece, aug 2007.
details doi pdf - Jorge Silva and Shrikanth S. Narayanan. A Statistical Discrimination Measure for Hidden Markov Models Based on Divergence. In Proceedings of InterSpeech, pp. 657–660, Jeju Island, Korea, October 2004.
details pdf - Jorge Silva, Vivek Rangarajan, Viktor Rozgic, and Shrikanth S. Narayanan. Information theoretic analysis of direct articulatory measurements for phonetic discrimination. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 457–460, Honolulu, Hawaii, apr 2007.
details doi pdf - Jorge Silva and Shrikanth S. Narayanan. Optimal wavelet packets decomposition based on a rate-distortion optimality criterion. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 817–820, Honolulu, Hawaii, apr 2007.
details doi pdf - Jorge Silva and Shrikanth S. Narayanan. Average divergence distance as a statistical discrimination measure for hidden Markov models. IEEE Transactions on Audio, Speech, and Language Processing, 14(3):890–906, may 2006.
details doi pdf - Jorge Silva and Shrikanth S. Narayanan. Discriminative wavelet packet filter bank selection for pattern recognition. IEEE Transactions on Signal Processing, 57(5):1796–1810, may 2009.
details doi pdf - Jorge Silva and Shrikanth S. Narayanan. A Near-Optimal (Minimax) Tree-Structured Partition for Mutual Information Estimation. In Proceedings of The IEEE International Symposium on Information Theory (ISIT), jun 2010.
details doi pdf - Jorge Silva and Shrikanth S. Narayanan. Information Divergence Estimation based on Data-Dependent Partitions. Journal of Statistical Planning and Inference, 140(11):3180–3198, 2010.
details doi pdf - Jorge Silva and Shrikanth S. Narayanan. Non-Product Data-Dependent Partitions for Mutual Information Estimation: Strong Consistency and Applications. IEEE Transactions on Signal Processing, 58(7):3497–3511, jul 2010.
details doi pdf - Jorge Silva and Shrikanth S. Narayanan. On Data-Driven Histogram-Based Estimation for Mutual Information. In Proceedings of The IEEE International Symposium on Information Theory (ISIT), jun 2010.
details doi pdf - Jorge Silva and Shrikanth S. Narayanan. Nearly Optimal Estimation of Mutual Information based on a Complexity Regularized Tree-Structured Partition. IEEE Transactions on Information Theory, 58(3):1940 – 1952, mar 2012.
details doi pdf - Jorge Silva and Shrikanth S. Narayanan. On Signal Representations within the Bayes Decision Framework. Pattern Recognition, 45(5):1853–1865, may 2012.
details doi pdf
Singla
- Karan Singla, Dogan Can, and Shrikanth S. Narayanan. A Multi-task Approach to Learning Multilingual Representations. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp. 214–220, Association for Computational Linguistics, Melbourne, Australia, jul 2018.
details doi pdf - Karan Singla, Zhuohao Chen, Nikolaos Flemotomos, James Gibson, Dogan Can, David Atkins, and Shrikanth S. Narayanan. Using Prosodic and Lexical Information for Learning Utterance-level Behaviors in Psychotherapy. In Proceedings of InterSpeech, Hyderabad, India, sep 2018.
details pdf - Karan Singla, Zhuohao Chen, David Atkins, and Shrikanth Narayanan. Towards end-2-end learning for predicting behavior codes from spoken utterances in psychotherapy conversations. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp. 3797–3803, Association for Computational Linguistics, Online, jul 2020.
details doi pdf - Karan Singla and Shrikanth Narayanan. Multitask learning for DARPA Lorelei's Situation Frame Extraction Task. In Proceedings of ICASSP, May 2020.
details doi pdf
Sinha
- Abhijit Sinha, Hemant Kumar Kathania, Sudarsana Reddy Kadiri, and Shrikanth Narayanan. Can Layer-wise SSL Features Improve Zero-Shot ASR Performance for Children's Speech?. IEEE Signal Processing Letters, IEEE, 2025.
details HTML
Sivakumar
- Gurunath Prashanth Sivakumar, Naveen Kumar, Panayiotis Georgiou, and Shrikanth Narayanan. RNN BASED INCREMENTAL ONLINE SPOKEN LANGUAGE UNDERSTANDING. In In proceedings of IEEE Spoken Language Technology Workshop, 2021.
details doi pdf
Skordilis
- Zisis Skordilis, Vikram Ramanarayanan, Louis Goldstein, and Shrikanth S. Narayanan. Experimental Assessment of the Tongue Incompressibility Hypothesis During Speech Production. In Proceedings of Interspeech, sep 2015.
details pdf - Zisis Skordilis, Asterios Toutios, Johannes Toger, and Shrikanth S. Narayanan. ESTIMATION OF VOCAL TRACT AREA FUNCTION FROM VOLUMETRIC MAGNETIC RESONANCE IMAGING. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), mar 2017.
details doi pdf
Smith
- Justin D. Smith, Cady Berkel, Neil Jordan, David C. Atkins, Shrikanth S. Narayanan, Carlos Gallo, Kevin J. Grimm, Thomas J. Dishion, Anne M. Mauricio, Jenna Rudo-Stern, Mariah K. Meachum, Emily Winslow, and Meg M. Bruening. Health behavior outcomes of a family-centered intervention for pediatric obesity in primary care: A randomized type II hybrid effectiveness-implementation trial. Pediatric Obesity, pp. e12780, 2021.
details doi pdf - Caitlin Smith, Michael I. Proctor, Khalil Iskarous, Louis Goldstein, and Shrikanth S. Narayanan. Stable articulatory tasks and their variable formation: Tamil retroflex consonants. In Proceedings of InterSpeech, aug 2013.
details pdf - J Smith, C Berkel, N Jordan, D Atkins, S Narayanan, C Gallo, K Grimm, T Dishion, A Mauricio, J Rudo-Stern, M Meacham, E Winslow, and M Bruening. An individually tailored family-centered intervention for pediatric obesity in primary care: Study protocol of a randomized type II hybrid implementation–effectiveness trial (Raising Healthy Children study). Implementation Science, 2017.
details - Justin D Smith, Cady Berkel, Neil Jordan, David C Atkins, Shrikanth S Narayanan, Carlos Gallo, Kevin J Grimm, Thomas J Dishion, Anne M Mauricio, Jenna Rudo-Stern, Mariah K Meachum, Emily Winslow, and Meg M Bruening. An individually tailored family-centered intervention for pediatric obesity in primary care: Study protocol of a randomized type II hybrid implementation–effectiveness trial (Raising Healthy Children study). Implementation Science, 13(11):1–15, January 2018.
details doi pdf
Soma
- Christina S. Soma, Bruce E. Wampold, Nikolaos Flemotomos, Raghuveer Peri, Shrikanth Narayanan, David C. Atkins, and Zac E. Imel. The Silent Treatment? Changes in patient emotional expression after silence. Counselling and Psychotherapy Research, 23:378– 388, 2023.
details doi pdf - Christina S. Soma, Dillon Knox, Timothy Greer, Keith Gunnerson, Alexander Young, and Shrikanth Narayanan. It's not what you said, it's how you said it: An analysis of therapist vocal features during psychotherapy. Counselling and Psychotherapy Research, pp. 1–12, 2021.
details doi pdf - Christina S. Soma, Brian R. W. Baucom, Bo Xiao, Jonathan E. Butner, Peter Hilpert, Shrikanth Narayanan, David C. Atkins, and Zac E. Imel. Coregulation of therapist and client emotion during psychotherapy. Psychotherapy Research, 0(0):1–13, Routledge, 2019.
details doi pdf
Somandapelli
- Krishna Somandapelli, Rahul Gupta, Md Nasir, Brandon M. Booth, Sungbok Lee, and Shrikanth S. Narayanan. Online Affect Tracking with Multimodal Kalman Filters. In Proceedings of the 6th Audio/Visual Emotion Challenge and Workshop ACM Multimedia, 2016.
details doi
Somandepalli
- Krishna Somandepalli and Shrikanth Narayanan. Generalized Multi-view Shared Subspace Learning using View Bootstrapping. IEEE Transactions on Signal Processing, ():1–1, 2021.
details doi pdf - Krishna Somandepalli, Rajat Hebbar, and Shrikanth Narayanan. Robust Character Labeling in Movie Videos: Data Resources and Self-supervised Feature Adaptation. IEEE Transactions on Multimedia, 24():3355–3368, 2022.
details doi pdf - Krishna Somandepalli, Naveen Kumar, Tanaya Guha, and Shrikanth Narayanan. Unsupervised Discovery of Character Dictionaries in Animation Movies. IEEE Transactions on Multimedia, 2017.
details - Krishna Somandepalli, Victor Martinez, Naveen Kumar, and Shrikanth Narayanan. Multimodal Representation of Advertisements Using Segment-level Autoencoders. In In proceedings of International Conference on Multimodal Interaction, October 2018.
details doi pdf - Krishna Somandepalli, Naveen Kumar, Arindam Jati, Panayiotis Georgiou, and Shrikanth Narayanan. Multiview Shared Subspace Learning across Speakers and Speech Commands. In In proceedings of Proceedings of Interspeech, September 2019.
details - Krishna Somandepalli and Shrikanth Narayanan. Reinforcing Self-expressive Representation With Constraint Propagation for Face Clustering in Movies. In Proceedings of ICASSP, May 2019.
details - Krishna Somandepalli, Asterios Toutios, and Shrikanth Narayanan. Semantic Edge Detection for Tracking Vocal Tract Air-tissue Boundaries in Real-time Magnetic Resonance Images. In Proceedings of Interspeech, August 2017.
details doi pdf - Krishna Somandepalli, Tanaya Guha, Victor Martinez, Naveen Kumar, Hartwig Adam, and Shrikanth Narayanan. Computational Media Intelligence: Human-centered Machine Analysis of Media. Proceedings of IEEE, 109(5):891–910, 2021.
details doi pdf
Sorensen
- Tanner Sorensen, Asterios Toutios, Louis Goldstein, and Shrikanth S. Narayanan. Characterizing Vocal Tract Dynamics Across Speakers Using Real-Time MRI. In Proceedings of Interspeech, pp. 465–469, 2016.
details doi pdf - Tanner Sorensen, Zisis Iason Skordilis, Asterios Toutios, Yoon-Chul Kim, Yinghua Zhu, Jangwon Kim, Adam Lammert, Vikram Ramanarayanan, Louis Goldstein, Dani Byrd, Krishna Nayak, and Shrikanth Narayanan. Database of volumetric and real-time vocal tract MRI for speech science. In Proceedings of Interspeech, pp. 645–649, August 2017.
details doi pdf - Tanner Sorensen, Asterios Toutios, Louis Goldstein, and Shrikanth Narayanan. Decomposing vocal tract constrictions into articulator contributions using real-time magnetic resonance imaging. In Speech Motor Control, pp. 19, Groningen, the Netherlands, Jul.~5--8 2017.
details pdf - Tanner Sorensen, Asterios Toutios, Johannes Toger, Louis Goldstein, and Shrikanth Narayanan. Test-retest repeatability of articulatory strategies using real-time magnetic resonance imaging. In Proceedings of Interspeech, pp. 994–998, August 2017.
details doi pdf - Tanner Sorensen, Emily Zane, Tiantian Feng, Shrikanth Narayanan, and Ruth Grossman. Cross-Modal Coordination of Face-Directed Gaze and Emotional Speech Production in School-Aged Children and Adolescents with ASD. Scientific Reports, 9(18301), December 2019.
details doi pdf - Tanner Sorensen, Asterios Toutios, Louis Goldstein, and Shrikanth Narayanan. Task-dependence of Articulator Synergies. The Journal of the Acoustical Society of America, 145(3), March 2019.
details doi pdf
Spruijt-Metz
- Donna Spruijt-Metz, Ming Li, Gautam Thatte, Gaurav Sukhatme, Murali Annavaram, Urbashi Mitra, Shrikanth S. Narayanan, and Nenad Medvidovic. Differentiating physical activity modalities in youth using heartbeat waveform shape and differences between adjacent waveforms. In Proceedings of the International Conference on Diet and Activity Methods (ICDAM), Washington, DC, jun 2009.
details - Donna Spruijt-Metz, Cheng KF Wen, Gillian O'Reilly, Ming Li, Adar Emken, Urbashi Mitra, Murali Annavaram, Gisele Ragusa, and Shrikanth S. Narayanan. Innovations in the Use of Interactive Technology to Support Weight Management. Current Obesity Reports, 2015.
details doi pdf
Sridhar
- Vivek Kumar Rangarajan Sridhar, Srinivas Bangalore, and Shrikanth S. Narayanan. Combining lexical, syntactic and prosodic cues for improved online dialog act tagging. Computer Speech and Language, 23(4):407–422, Elsevier, October 2009.
details doi pdf - Vivek Kumar Rangarajan Sridhar, Srinivas Bangalore, and Shrikanth S. Narayanan. Enriching machine-mediated speech-to-speech translation using contextual information. Computer, Speech, and Language, 27(2):492–508, feb 2013.
details doi pdf
Srinivasamurthy
- Naveen Srinivasamurthy, Antonio Ortega, and Shrikanth S. Narayanan. Enhanced standard compliant distributed speech recognition (AURORA encoder) using rate allocation. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 485–488, Montreal, Canada, may 2004.
details doi pdf - Naveen Srinivasamurthy, Shrikanth S. Narayanan, and Antonio Ortega. Use of model transformations for distributed speech recognition. In Proceedings of the International Speech Communication Association (ISCA) Workshop on Adaptation Methods for Speech Recognition, pp. 113–116, Sophia Antipolis, France, aug 2001.
details pdf - Naveen Srinivasamurthy, Antonio Ortega, and Shrikanth S. Narayanan. Towards optimal encoding for classification with applications to distributed speech recognition. In Proceedings of InterSpeech, Geneva, Switzerland, sep 2003.
details pdf - Naveen Srinivasamurthy and Shrikanth S. Narayanan. Language-adaptive Persian speech recognition. In Proceedings of InterSpeech, Geneva, Switzerland, sep 2003.
details pdf - Naveen Srinivasamurthy, Antonio Ortega, and Shrikanth S. Narayanan. Efficient scalable speech compression for scalable speech recognition. In Proceedings of InterSpeech, pp. 1845–1848, Aalborg, Denmark, sep 2001.
details pdf - Naveen Srinivasamurthy, Antonio Ortega, and Shrikanth S. Narayanan. Efficient scalable encoding for distributed speech recognition. Speech Communication, 48(8):888–902, aug 2006.
details doi pdf
Stewart
- Shanti Stewart, Kleanthis Avramidis, Tiantian Feng, and Shrikanth Narayanan. Emotion-Aligned Contrastive Learning Between Images and Music. In ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 8135–8139, , April 2024.
details doi pdf
Strangmann
- Iris M. Strangmann, Emma Nichols, Erik Meijer, Pranali Khobragade, Madeleine Snider, Shrikanth Narayanan, Jinkook Lee, and Miguel Arce Rentería. Multilingualism, socioeconomic status, urbanicity, and cognitive functioning over time among older Indian adults. Alzheimer's & Dementia: Behavior & Socioeconomics of Aging, 2(3):e70087, 2026.
details doi HTML - Iris M. Strangmann, Pranali Khobragade, Emma Nichols, Erik Meijer, Sarah Petrosyan, Shrikanth Narayanan, Jinkook Lee, and Miguel Arce Rentería. Association of majority versus minority first language multilingualism and socioeconomic status with cognition among older adults residing in India. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, 18(1):e70280, 2026.
details doi HTML - Iris M. Strangmann, Emily Briceno, Sarah Petrosyan, Erik Meijer, Emma Nichols, Lindsay C. Kobayashi, Shrikanth Narayanan, Jinkook Lee, and Miguel Arce Rentería. The association between multilingualism and cognitive function among literate and illiterate older adults with low education in India. Alzheimer's & Dementia: Behavior & Socioeconomics of Aging, 1(2):e70018, 2025.
details doi HTML
Subramanyam
- S. Subramanyam and Shrikanth S. Narayanan. Loading Effects on Indian Musical Drums: An Acoustic Analysis. In Proceedings of the Material Research Society, San Francisco, CA, November 1993.
details
Suendermann
- David Suendermann, Harald Hoege, Antonio Bonafonte, Hermann Ney, Alan Black, and Shrikanth S. Narayanan. Text-independent voice conversion based on unit selection. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 81–84, Toulose, France, may 2006.
details doi pdf
Sundaram
- Shiva Sundaram and Shrikanth S. Narayanan. An attribute-based approach to audio description applied to segmenting vocal sections in popular music songs. In Proceedings of the International Workshop on Multimedia Signal Processing (MMSP), pp. 103–107, Victoria, Canada, oct 2006.
details doi pdf - Shiva Sundaram and Shrikanth S. Narayanan. Vector-based representation and clustering of audio using onomatopoeia words. In Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI) Fall Symposium, Arlington, VA, oct 2006.
details pdf - Shiva Sundaram and Shrikanth S. Narayanan. A divide-and-conquer approach to latent perceptual indexing of audio for large web 2.0 applications. In Proceedings of the International Conference on Multimedia & Expo (ICME), pp. 466–469, Cancun, Mexico, jun 2009.
details doi pdf - Shiva Sundaram and Shrikanth S. Narayanan. Experiments in automatic genre classification of full-length music tracks using audio activity rate. In Proceedings of the IEEE International Workshop on Multimedia Signal Processing (MMSP), pp. 98–102, Chania, Greece, oct 2007.
details doi pdf - Shiva Sundaram and Shrikanth S. Narayanan. Audio retrieval by latent perceptual indexing. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 49–52, Las Vegas, Nevada, apr 2008.
details doi pdf - Shiva Sundaram and Shrikanth S. Narayanan. Classification of sound clips by two schemes: using onomatopoeia and semantic labels. In Proceedings of the IEEE International Conference on Multimedia and Expo (ICME), pp. 1341–1344, Hannover, Germany, jun 2008.
details doi pdf - Shiva Sundaram and Shrikanth S. Narayanan. Analysis of audio clustering using word descriptions. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 769–772, Honolulu, Hawaii, apr 2007.
details doi pdf - Shiva Sundaram and Shrikanth S. Narayanan. Discriminating Two Types of Noise Sources Using Cortical Representation and Dimension Reduction Technique. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 213–216, 1, Honolulu, Hawaii, April 2007.
details doi pdf - Shiva Sundaram and Shrikanth S. Narayanan. Spoken language synthesis: Experiments in synthesis of spontaneous monologues. In Proceedings of the IEEE Speech Synthesis Workshop, pp. 203–206, Santa Monica, CA, sep 2002.
details doi pdf - Shiva Sundaram and Shrikanth S. Narayanan. An empirical text transformation method for spontaneous speech synthesizers. In Proceedings of InterSpeech, pp. 1221–1224, Geneva, Switzerland, sep 2003.
details pdf - Shiva Sundaram and Shrikanth S. Narayanan. Automatic acoustic synthesis of human-like laughter. Journal of the Acoustical Society of America, 121(1):527–535, jan 2007.
details pdf
Swartout
- William Swartout, David Traum, Ron Artstein, Dan Noren, Paul Debevec, Kerry Bronnenkant, Josh Williams, Anton Leuski, Shrikanth S. Narayanan, Diane Piepol, Chad Lane, Jacquelyn Morie, Priti Aggarwal, Matt Liewer, Jen-Yuan Chiang, Jillian Gerten, Selina Chu, and Kyle White. Ada and Grace: Toward Realistic and Engaging Virtual Museum Guides. In Proceedings of the 10th International Conference on Intelligent Virtual Agents (IVA), Philadelphia, PA, sep 2010.
details doi pdf - William Swartout, David Traum, Ron Artstein, Dan Noren, Paul Debevec, Kerry Bronnenkant, Josh Williams, Anton Leuski, Shrikanth S. Narayanan, Diane Piepol, Chad Lane, Jacquelyn Morie, Priti Aggarwal, Matt Liewer, Jen-Yuan Chiang, Jillian Gerten, Selina Chu, and Kyle White. Virtual Museum Guides. In IEEE Workshop on Spoken Language Technology (SLT), dec 2010.
details
Tadimari
- Adarsh Tadimari, Naveen Kumar, Tanaya Guha, and Shrikanth S. Narayanan. OPENING BIG IN BOX OFFICE? TRAILER CONTENT CAN HELP. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), mar 2016.
details doi pdf
Tan
- Qun Feng Tan, Kartik Audhkhasi, Panayiotis Georgiou, Emil Ettelaie, and Shrikanth S. Narayanan. Automatic Speech Recognition System Channel Modeling. In Proceedings of InterSpeech, Makuhari, Japan, sep 2010.
details pdf - Qun Feng Tan, Panayiotis Georgiou, and Shrikanth S. Narayanan. Enhanced Sparse Imputation Techniques for a Robust Speech Recognition Front-End. IEEE Transactions on Audio, Speech and Language Processing, 19(8):2418 – 2429, November 2011.
details doi pdf - Qun Feng Tan and Shrikanth S. Narayanan. Novel Variations of Group Sparse Regularization Techniques with Applications to Noise Robust Automatic Speech Recognition. IEEE Transactions on Audio, Speech and Language Processing, 20(4):1337–1346, may 2012.
details doi pdf - Qun Feng Tan and Shrikanth S. Narayanan. Combining Window Predictions Efficiently-- A new imputation Approach for noise robust Automatic Speech Recognition. In International Conference on Acoustics, Speech and Signal Processing (ICASSP), may 2013.
details doi pdf
Tavabi
- Nazgol Tavabi, Homa Hosseinmardi, Jennifer Villatte, Andres Abeliuk, Shrikanth Narayanan, Emilio Ferrara, and Kristina Lerman. Learning Behavioral Representations from Wearable Sensors. In Proceedings of International Conference on Social Computing, Behavioral Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS 2020), October 2020.
details pdf
Tepperman
- Joseph Tepperman, Matteo Gerosa, and Shrikanth S. Narayanan. A generative model for scoring children's reading comprehension. In Proceedings of the Workshop on Child, Computer and Interaction, Chania, Greece, oct 2008.
details pdf - Joseph Tepperman and Shrikanth S. Narayanan. Better nonnative intonation scores through prosodic theory. In Proceedings of InterSpeech, pp. 1813–1816, Brisbane, Australia, sep 2008.
details pdf - Joseph Tepperman and Shrikanth S. Narayanan. Tree grammars as models of prosodic structure. In Proceedings of InterSpeech, pp. 2286–2289, Brisbane, Australia, sep 2008.
details pdf - Joseph Tepperman, Matthew P. Black, Patti Price, Sungbok Lee, Abe Kazemzadeh, Matteo Gerosa, Margaret Heritage, Abeer Alwan, and Shrikanth S. Narayanan. A Bayesian Network Classifier for Word-level Reading Assessment. In Proceedings of InterSpeech, pp. 2185–2188, Antwerp, Belgium, August 2007.
details pdf - Joseph Tepperman and Shrikanth S. Narayanan. Hidden-articulator Markov models for pronunciation evaluation. In Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), pp. 174–179, San Juan, Puerto Rico, nov 2005.
details doi pdf - Joseph Tepperman, Jorge Silva, Abe Kazemzadeh, Hong You, Sungbok Lee, Abeer Alwan, and Shrikanth S. Narayanan. Pronunciation verification of children's speech for automatic literacy assessment. In Proceedings of InterSpeech, Pittsburgh, PA, sep 2006.
details pdf - Joseph Tepperman, Jorge Silva, Abhinav Sethy, and Shrikanth S. Narayanan. Robust recognition and assessment of non-native speech variability. In Proceedings of the International Conference on Intelligent Systems And Computing (ISYC), Ayia Napa, Cyprus, jul 2006.
details pdf - Joseph Tepperman and Shrikanth S. Narayanan. Automatic syllable stress detection using prosodic features for pronunciation evaluation of language learners. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 937–940, Philadelphia, PA, mar 2005.
details doi pdf - Joseph Tepperman, Abe Kazemzadeh, and Shrikanth S. Narayanan. A text-free approach to assessing nonnative intonation. In Proceedings of InterSpeech, pp. 2169–2172, Antwerp, Belgium, aug 2007.
details pdf - Joseph Tepperman, David Traum, and Shrikanth S. Narayanan. "Yeah right": Sarcasm recognition for spoken dialogue systems. In Proceedings of InterSpeech, pp. 1838–1841, Pittsburgh, PA, sep 2006.
details pdf - Joseph Tepperman, Louis Goldstein, Sungbok Lee, and Shrikanth S. Narayanan. Automatically rating pronunciation through articulatory phonology. In Proceedings of InterSpeech, Brighton, UK, sep 2009.
details pdf - Joseph Tepperman, Erik Bresch, Yoon-Chul Kim, Sungbok Lee, Louis Goldstein, and Shrikanth S. Narayanan. An Articulatory Analysis of Phonological Transfer Using Real-time MRI. In Proceedings of InterSpeech, pp. 700–703, Brighton, UK, September 2009.
details doi pdf - Joseph Tepperman and Shrikanth S. Narayanan. Using articulatory representations to detect segmental errors in nonnative pronunciation. IEEE Transactions on Audio, Speech, and Language Processing, 16(1):8–22, jan 2008.
details doi pdf - Joseph Tepperman, Sungbok Lee, Shrikanth S. Narayanan, and Abeer Alwan. A generative student model for scoring word reading skills. IEEE Transactions on Audio, Speech, and Language Processing, 19(2):348 – 360, 2011.
details doi pdf
Thatte
- Gautam Thatte, Viktor Rozgic, Ming Li, Sabyasachi Ghosh, Urbashi Mitra, Shrikanth S. Narayanan, Murali Annavaram, and Donna Spruijt-Metz. Optimal time-resource allocation for activity-detection via multimodal sensing. In Proceedings of the International Conference on Body Area Networks (BodyNets), Los Angeles, CA, apr 2009.
details doi pdf - Gautam Thatte, Viktor Rozgic, Ming Li, Sabyasachi Ghosh, Urbashi Mitra, Shrikanth S. Narayanan, Murali Annavaram, and Donna Spruijt-Metz. Optimal allocation of time-resources for multihypothesis activity-level detection. In Proceedings of the International Conference on Distributed Computing in Sensor Systems (DCOSS), pp. 273–286, Marina Del Rey, CA, jun 2009.
details doi pdf - Gautam Thatte, Ming Li, Adar Emken, Urbashi Mitra, Shrikanth S. Narayanan, Murali Annavaram, and Donna Spruijt-Metz. Energy-efficient multihypothesis activity-detection for health-monitoring applications. In Proceedings of the Annual International IEEE Engineering in Medicine and Biology Society (EMBS) Conference, pp. 4678–4681, 1, Minneapolis, MN, September 2009.
details doi pdf - Gautam Thatte, Ming Li, Sangwon Lee, Adar Emken, Shrikanth S. Narayanan, Urbashi Mitra, Donna Spruijt-Metz, and Murali Annavaram. KNOWME: An Energy-Efficient, Multimodal Body Area Network for Physical Activity Monitoring. ACM Transactions on Embedded Computing Systems, 2010.
details doi pdf - Gautam Thatte, Ming Li, Sangwon Lee, Adar Emken, Murali Annavaram, Shrikanth S. Narayanan, Donna Spruijt-Metz, and Urbashi Mitra. Optimal Time-Resource Allocation for Energy-Efficient Physical Activity Detection. IEEE Transactions on Signal Processing, 59(4):1843–1857, 2011.
details doi pdf - Gautam Thatte, Ming Li, Sangwon Lee, Adar Emken, Shrikanth S. Narayanan, Urbashi Mitra, Donna Spruijt-Metz, and Murali Annavaram. KNOWME: An Energy-Efficient, Multimodal Body Area Network for Physical Activity Monitoring. ACM Transactions on Embedded Computing Systems, 11(S2):48, 2012.
details doi pdf
Thomas
- Samuel Thomas, George Saon, Maarten Van Segbroeck, and Shrikanth S. Narayanan. Improvements to the IBM speech activity detection system for the DARPA RATS program. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), apr 2015.
details doi pdf
Tian
- Ye Tian, Yongwan Lim, Ziwei Zhao, Dani Byrd, Shrikanth Narayanan, and Krishna S. Nayak. Aliasing Artifact Reduction in Spiral Real-Time MRI. Magnetic Resonance in Medicine, 2021.
details doi HTML
Timmons
- Adela C Timmons, Abdullah Aman Tutul, Kleanthis Avramidis, Jacqueline B Duong, Kayla E Carta, Sierra N Walters, Grace A Jumonville, Alyssa S Carrasco, Gabrielle F Freitag, Daniela N Romero, and others. Developing personalized algorithms for sensing mental health symptoms in daily life. npj Mental Health Research, 4(1):34, Nature Publishing Group UK London, 2025.
details - Adela C Timmons, Sohyun C Han, Theodora Chaspari, Yehsong Kim, Shrikanth Narayanan, Jacqueline B Duong, Natalia Simo Fiallo, and Gayla Margolin. Relationship satisfaction, feelings of closeness and annoyance, and linkage in electrodermal activity.. Emotion, 23(7):1815–1828, American Psychological Association, 2023.
details doi pdf - Adela Timmons, Theodora Chaspari, Sohyun Han, Laura Perrone, Shrikanth S. Narayanan, and Gayla Margolin. Using Multimodal Wearable Technology to Detect Conflict among Couples. IEEE Computer (Special Issue on Quality-of-Life Technologies), 50(3):50–59, mar 2017.
details doi pdf - Adela Timmons, Sohyun Han, Theodora Chaspari, Yehsong Kim, Corey Pettit, Shrikanth Narayanan, and Gayla Margolin. Family-of-Origin Aggression, Dating Aggression, and Physiological Stress Reactivity in Daily Life. Physiology & Behavior, 2019.
details
Tiwari
- Abhishek Tiwari, Raymundo Cassani, Shrikanth Narayanan, and Tiago Falk. A Comparative Study of Stress and Anxiety Prediction in Ecological Settings Using a Smart-shirt and a Smart-bracelet. In In proceedings of 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’19), 2019.
details - Abhishek Tiwari, Shrikanth Narayanan, and Tiago Falk. Breathing Rate Complexity Features for "In-the-Wild” Stress and Anxiety Measurement. In In proceedings of 27th European Signal Processing Conference (EUSIPCO), September 2019.
details - Abhishek Tiwari, Shrikanth Narayanan, and Tiago Falk. Stress and Anxiety Measurement "In-the-Wild" Using Quality-aware Multi-scale HRV Features. In In proceedings of 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’19), July 2019.
details
Toth
- Gábor Mihály Toth, Tim Hempel, Krishna Somandepalli, and Shrikanth Narayanan. Studying Large-Scale Behavioral Differences in Auschwitz-Birkenau with Simulation of Gendered Narratives. Digital Humanities Quarterly, 16(3), 2022.
details pdf
Toutios
- Asterios Toutios and Shrikanth S. Narayanan. Articulatory Synthesis of French Connected Speech from EMA Data. In Proceedings of InterSpeech, aug 2013.
details pdf - Asterios Toutios and Shrikanth S. Narayanan. Factor Analysis Of Vocal-tract Outlines Derived From Real-time Magnetic Resonance Imaging Data. In Proceedings of International Congress of Phonetic Sciences (ICPhS 2015), aug 2015.
details pdf - Asterios Toutios and Shrikanth S. Narayanan. Advances in Real-time Magnetic Resonance Imaging of the Vocal Tract for Speech Science and Technology Research. APSIPA Transactions on Signal and Information Processing, 5:e6, Cambridge Univ Press, 2016.
details doi pdf - Asterios Toutios, Tanner Sorensen, Krishna Somandapelli, Rachel Alexander, and Shrikanth S. Narayanan. Articulatory Synthesis Based on Real-Time Magnetic Resonance Imaging Data. In Proceedings of Interspeech, 2016.
details doi pdf - Asterios Toutios, Sajan G Lingala, Colin Vaz, Jangwon Kim, John Esling, Patricia Keating, Matthew Gordon, Dani Byrd, Louis Goldstein, Krishna S. Nayak, and Shrikanth S. Narayanan. Illustrating the Production of the International Phonetic Alphabet Sounds Using Fast Real-Time Magnetic Resonance Imaging. In Proceedings of Interspeech, pp. 2428–2432, 2016.
details pdf - Asterios Toutios, Dani Byrd, Louis Goldstein, and Shrikanth S. Narayanan. Advances in vocal tract imaging and analysis, Routledge London and New York, New York, NY, 2019.
details pdf - Asterios Toutios, Dani Byrd, Louis Goldstein, and Shrikanth Narayanan. How an aglossic speaker produces an alveolar-like percept without a functional tongue tip. J. Acoust. Soc. Am., 2020.
details
Traum
- David Traum, William Swartout, Jonathan Gratch, Stacy Marsella, Patrick Kenny, Eduard Hovy, Shrikanth S. Narayanan, Ed Fast, Bilyana Martinovski, Rahul Bhagat, Susan Robinson, Andrew Marshall, Dagen Wang, Sudeep Gandhe, and Anton Leuski. Virtual humans for non-team interaction training. In Proceedings of the SIGdial Workshop, Lisbon, Portugal, sep 2005.
details - David Traum, William Swartout, Jonathan Gratch, Stacy Marsella, Patrick Kenny, Eduard Hovy, Shrikanth S. Narayanan, Ed Fast, Bilyana Martinovski, Rahul Bhagat, Susan Robinson, Andrew Marshall, Dagen Wang, Sudeep Gandhe, and Anton Leuski. Dealing With Doctors: Virtual Humans for non-team interaction training. In Proceedings of ACL/ISCA 6th SIGdial Workshop on Discourse and Dialogue, September 2005.
details pdf - David Traum, Antonio Roque, Panayiotis Georgiou, Jillian Gerten, Bilyana Martinovski, Shrikanth S. Narayanan, Susan Robinson, and Ashish Vaswani. Hassan: A Virtual Human for Tactical Questioning. In Proceedings of the 8th SIGdial Workshop on Discourse and Dialogue, pp. 71–74, sep 2007.
details pdf
Travadi
- Ruchir Travadi, Maarten Van Segbroeck, and Shrikanth Narayanan. Modified- prior i-Vector Estimation for Language Identification of Short Duration Utterances. In Proceedings of Interspeech, sep 2014.
details pdf - Ruchir Travadi and Shrikanth S. Narayanan. Ensemble of Gaussian Mixture Localized Neural Networks with Application to Phone Recognition. In Proceedings of Interspeech, sep 2015.
details pdf - Ruchir Travadi and Shrikanth S. Narayanan. Non-Iterative Parameter Estimation for Total Variability Model Using Randomized Singular Value Decomposition. In Proceedings of Interspeech, 2016.
details doi pdf - Ruchir Travadi and Shrikanth Narayanan. A Distribution Free Formulation of the Total Variability Model. In Proceedings of Interspeech, August 2017.
details - Ruchir Travadi and Shrikanth S. Narayanan. Efficient Estimation and Model Generalization for the Total Variability Model. Computer Speech and Language, 53:43–64, January 2019.
details doi pdf - Ruchir Travadi and Shrikanth Narayanan. Total Variability Layer in Deep Neural Network Embeddings for Speaker Verification. IEEE Signal Processing Letters, 26:893–897, June 2019.
details doi pdf
Tsaprazlis
- Efthymios Tsaprazlis, Tiantian Feng, Anil Ramakrishna, Rahul Gupta, and Shrikanth Narayanan. Assessing Visual Privacy Risks in Multimodal AI: A Novel Taxonomy-Grounded Evaluation of Vision-Language Models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 4292–4301, June 2026.
details pdf - Efthymios Tsaprazlis, Thanathai Lertpetchpun, Tiantian Feng, Sai Praneeth Karimireddy, and Shrikanth Narayanan. VoxGuard: Evaluating User and Attribute Privacy in Speech via Membership Inference Attacks. In ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 19042–19046, , May 2026.
details doi HTML
Tseng
- Shao-Yen Tseng, Shrikanth Narayanan, and Panayiotis Georgiou. Multimodal Embeddings from Language Models for Emotion Recognition in the Wild. IEEE Signal Processing Letters, 28():608–612, 2021.
details doi pdf
Tsiartas
- Andreas Tsiartas, Prasanta Kumar Ghosh, Panayiotis Georgiou, and Shrikanth S. Narayanan. Robust word boundary detection in spontaneous speech using acoustic and lexical cues. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 4785–4788, Taipei, Taiwan, apr 2009.
details doi pdf - Andreas Tsiartas, Prasanta Kumar Ghosh, Panayiotis Georgiou, and Shrikanth S. Narayanan. Context-driven automatic bilingual movie subtitle alignment. In Proceedings of InterSpeech, Brighton, UK, sep 2009.
details doi pdf - Andreas Tsiartas, Panayiotis Georgiou, and Shrikanth S. Narayanan. Language model adaptation using WWW documents obtained by utterance-based queries. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Dallas, TX, mar 2010.
details doi pdf - Andreas Tsiartas, Prasanta Kumar Ghosh, Panayiotis Georgiou, and Shrikanth S. Narayanan. Bilingual Audio-Subtitle Extraction Using Automatic Segmentation Of Movie Audio. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), pp. 5624–5627, May 2011.
details doi pdf - Andreas Tsiartas, Panayiotis Georgiou, and Shrikanth S. Narayanan. A Study on the Effect of prosodic emphasis on overall speech translation quality. In International Conference on Acoustics, Speech and Signal Processing (ICASSP), may 2013.
details doi pdf - Andreas Tsiartas, Prasanta Kumar Ghosh, Panayiotis Georgiou, and Shrikanth S. Narayanan. High-quality bilingual subtitle document alignments with application to spontaneous speech translation. Computer, Speech, and Language, 27(2):572–591, February 2013.
details doi pdf - Andreas Tsiartas, Theodora Chaspari, Athanasios Katsamanis, Prasanta Kumar Ghosh, Ming Li, Maarten Van Segbroeck, Alexandros Potamianos, and Shrikanth S. Narayanan. Multi-band long-term signal variability features for robust voice activity detection. In Proceedings of InterSpeech, aug 2013.
details pdf - Andreas Tsiartas, Panayiotis Georgiou, and Shrikanth S. Narayanan. Toward Transfer Of Acoustic Cues Of Emphasis Across Languages. In Proceedings of InterSpeech, aug 2013.
details pdf - Andreas Tsiartas, Prasanta Kumar Ghosh, Panayiotis Georgiou, and Shrikanth Narayanan. Classification of clean and noisy bilingual movie audio for speech-to-speech translation corpora design. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), may 2014.
details doi pdf
Tsuzuki
- Ryosuke Tsuzuki, Heiga Zen, Keiichi Tokuda, Tadashi Kitamura, Murtaza Bulut, and Shrikanth S. Narayanan. Constructing emotional speech synthesizers with limited speech database. In Proceedings of InterSpeech, pp. 1185–1188, Jeju Island, Korea, oct 2004.
details pdf
Töger
- Johannes Töger, Yongwan Lim, Sajan G Lingala, Shrikanth S. Narayanan, and Krishna S. Nayak. Sensitivity of Quantitative RT-MRI Metrics of Vocal Tract Dynamics to Image Reconstruction Settings. In Proceedings of Interspeech, pp. 165–169, 2016.
details doi pdf - Johannes Töger, Tanner Sorensen, Krishna Somandepalli, Asterios Toutios, Sajan Goud Lingala, Shrikanth Narayanan, and Krishna Nayak. Test–retest repeatability of human speech biomarkers from static and real-time dynamic magnetic resonance imaging. The Journal of the Acoustical Society of America, 141(5):3323–3336, May 2017.
details doi pdf
Unal
- Erdem Unal, Shrikanth S. Narayanan, Elaine Chew, Panayiotis Georgiou, and Nathan Dahlin. A Dictionary Based Approach for Robust and Syllable-independent Audio Input Transcription for Query by Humming Systems. In Proceedings of the Audio and Music Computing for Multimedia (AMCMM) Workshop, pp. 37–44, Santa Barbara, CA, October 2006.
details doi pdf - Erdem Unal, Shrikanth S. Narayanan, Hsuan-Huei Shih, Elaine Chew, and C.-C. Jay Kuo. Creating data resources for designing user-centric front-ends for query by humming systems. In Proceedings of the ACM SIGMM International Workshop on Multimedia Information Retrieval (MIR), pp. 475–483, Berkeley, CA, nov 2003.
details doi pdf - Erdem Unal, Elaine Chew, Panayiotis Georgiou, and Shrikanth S. Narayanan. Statistical modeling and retrieval of polyphonic music. In Proceedings of the IEEE International Workshop on Multimedia Signal Processing (MMSP), pp. 405–409, Chania, Greece, oct 2007.
details doi pdf - Erdem Unal, Shrikanth S. Narayanan, and Elaine Chew. A statistical approach to retrieval under user-dependent uncertainty in query-by-humming systems. In Proceedings of the ACM SIGMM International Workshop on Multimedia Information Retrieval (MIR), pp. 113–118, New York City, NY, oct 2004.
details doi pdf - Erdem Unal, Shrikanth S. Narayanan, Hsuan-Huei Shih, Elaine Chew, and C.-C. Jay Kuo. Creating data resources for designing usercentric frontends for query-by-humming systems. ACM Multimedia Systems Journal, Special Issue on Music Information Retrieval, 10(6):475–483, may 2005.
details doi pdf - Erdem Unal, Elaine Chew, Panayiotis Georgiou, and Shrikanth S. Narayanan. Challenging uncertainty in query by humming systems: A fingerprinting approach. IEEE Transactions on Audio, Speech, and Language Processing, 16(2):359–371, feb 2008.
details doi pdf - Erdem Unal, Elaine Chew, Panayiotis Georgiou, and Shrikanth S. Narayanan. A perplexity based Cover song Matching System for short length queries. In Proceedings of International Society for Music Information Retrieval Conference (ISMIR), oct 2011.
details pdf
Van
- Maarten Van Segbroeck and Shrikanth S. Narayanan. A robust frontend for ASR: combining denoising, noise masking and feature normalization. In International Conference on Acoustics, Speech and Signal Processing (ICASSP), may 2013.
details doi pdf - Maarten Van Segbroeck, Ruchir Travadi, Colin Vaz, Jangwon Kim, Matthew P. Black, Alexandros Potamianos, and Shrikanth Narayanan. Classification of Cognitive Load from Speech using an i-vector Framework. In Proceedings of Interspeech, sep 2014.
details pdf - Maarten Van Segbroeck, Ruchir Travadi, and Shrikanth Narayanan. UBM Fused Total Variability Modeling for Language Identification. In Proceedings of Interspeech, pp. 3027–3031, September 2014.
details pdf - Maarten Van Segbroeck, Ruchir Travadi, and Shrikanth S. Narayanan. Rapid Language Identification. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(7):1118 – 1129, jul 2015.
details doi pdf - Maarten Van Segbroeck, Allison Knoll, Pat Levitt, and Shrikanth Narayanan. MUPET - Mouse Ultrasonic Profile ExTraction: A signal processing tool for rapid and unsupervised analysis of ultrasonic vocalizations. Neuron, 94:465–485, March 2017.
details doi pdf
Vaz
- Colin Vaz, Vikram Ramanarayanan, and Shrikanth S. Narayanan. A two-step technique for MRI audio enhancement using dictionary learning and wavelet packet analysis. In Proceedings of InterSpeech, aug 2013.
details pdf - Colin Vaz, Andreas Tsiartas, and Shrikanth Narayanan. Energy-Constrained Minimum Variance Response Filter for Robust Vowel Spectral Estimation. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), may 2014.
details doi pdf - Colin Vaz, Dimitrios B Dimitriadis, and Shrikanth Narayanan. Enhancing Audio Source Separability Using Spectro-Temporal Regularization with NMF. In Proceedings of Interspeech, sep 2014.
details pdf - Colin Vaz, Vikram Ramanarayanan, and Shrikanth Narayanan. Joint Filtering and Factorization for Recovering Latent Structure from Noisy Speech Data. In Proceedings of Interspeech, sep 2014.
details pdf - Colin Vaz and Shrikanth S. Narayanan. Learning a Speech Manifold for Signal Subspace Speech Denoising. In Proceedings of Interspeech, sep 2015.
details pdf - Colin Vaz, Dimitrios B Dimitriadis, Samuel Thomas, and Shrikanth S. Narayanan. CNMF-Based Acoustic Features for Noise-robust ASR. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), pp. 5735–5739, March 2016.
details doi pdf - Colin Vaz, Asterios Toutios, and Shrikanth S. Narayanan. Convex Hull Convolutive Non-Negative Matrix Factorization for Uncovering Temporal Patterns in Multivariate Time-Series Data. In Proceedings of Interspeech, 2016.
details doi pdf - Colin Vaz, Vikram Ramanarayanan, and Shrikanth Narayanan. Acoustic Denoising using Dictionary Learning with Spectral and Temporal Regularization. IEEE/ACM Transactions on Audio, Speech and Language Processing, 2018.
details - Colin Vaz and Shrikanth Narayanan. Extending the Beta divergence to complex values. Pattern Recognition Letters, 2020.
details doi pdf
Villalba
- Jesus Antonio Villalba, Tiantian Feng, Thomas Thebaud, Jihwan Lee, Shrikanth Narayanan, and Najim Dehak. The SHADOW team submission to the ASVSpoof 2024 Challenge. In The Automatic Speaker Verification Spoofing Countermeasures Workshop (ASVspoof 2024), pp. 36–42, 2024.
details doi
Walker
- Marilyn Walker, J. Aberdeen, J. Boland, E. Bratt, J. Garafolo, Lynette Hirschman, A. Le, Sungbok Lee, Shrikanth S. Narayanan, K. Papineni, B. Pellom, Joseph Polifroni, Alexandros Potamianos, P. Prabhu, Alexander I. Rudnicky, G. Sanders, Stephanie Seneff, D. Stallard, and Steve Whittaker. DARPA communicator dialog travel planning systems: The June 2000 data collection. In Proceedings of InterSpeech, pp. 1371–1374, Aalborg, Denmark, sep 2001.
details pdf - Marilyn Walker, Jeanne Fromer, and Shrikanth S. Narayanan. Learning optimal dialogue strategies: A case study of a spoken dialogue agent for email. In Proceedings of the International Committee on Computational Linguistics and the Association for Computational Linguistics (COLING/ACL), pp. 1345–1351, Montreal, Canada, aug 1998.
details doi pdf
Walters
- Sierra N. Walters, Jacqueline B. Duong, Kayla E. Carta, Grace A. Jumonville, Alyssa S. Carrasco, Daniela N. Romero, Matthew W. Ahle, Theodora Chaspari, Shrikanth S. Narayanan, Jonathan S. Comer, and Adela C. Timmons. Contextual Influences on Parenting and Adversity: An Examination of Multisystemic Effects. Journal of Child and Family Studies, Jul 2026.
details doi HTML
Wang
- Helin Wang, Jiarui Hai, Dading Chong, Karan Thakkar, Tiantian Feng, Dongchao Yang, Junhyeok Lee, Thomas Thebaud, Laureano Moro-Velázquez, Jesús Villalba, Zengyi Qin, Shrikanth Narayanan, Mounya Elhiali, and Najim Dehak. CapSpeech: Enabling Downstream Applications in Style-Captioned Text-to-Speech. IEEE Transactions on Audio, Speech and Language Processing, ():1–14, 2026.
details doi - Dagen Wang and Shrikanth S. Narayanan. A multi-pass linear fold algorithm for sentence boundary detection using prosodic cues. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 525–528, Montreal, Canada, may 2004.
details doi pdf - Dagen Wang and Shrikanth S. Narayanan. A confidence-score based unsupervised MAP adaptation for speech recognition. In Proceedings of the Asilomar Conference on Signals, Systems and Computers, pp. 222–226, Pacific Grove, CA, nov 2002.
details doi pdf - Dagen Wang and Shrikanth S. Narayanan. Piecewise linear stylization of pitch via wavelet analysis. In Proceedings of InterSpeech, pp. 3277–3280, Lisbon, Portugal, oct 2005.
details pdf - Dagen Wang and Shrikanth S. Narayanan. An unsupervised quantitative measure for word prominence in spontaneous speech. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 377–380, Philadelphia, PA, mar 2005.
details doi pdf - Dagen Wang and Shrikanth S. Narayanan. An acoustic measure for word prominence in spontaneous speech. IEEE Transactions on Audio, Speech, and Language Processing, 15(2):690–701, feb 2007.
details doi pdf - Dagen Wang and Shrikanth S. Narayanan. Robust speech rate estimation for spontaneous speech. IEEE Transactions on Audio, Speech, and Language Processing, 15(8):2190–2201, nov 2007.
details doi pdf - Hao Wang, Dogan Can, Abe Kazemzadeh, Francois Bar, and Shrikanth S. Narayanan. A System for Real-Time Twitter Sentiment Analysis of 2012 U.S. Presidential Election Cycle. In Proceedings of ACL, jul 2012.
details pdf - Jiaxi Wang, Karel Mundnich, Allison Knoll, Pat Levitt, and Shrikanth Narayanan. Bringing in the outliers: A sparse subspace clustering approach to learn a dictionary of mouse vocalizations. In Proceedings of ICASSP, May 2020.
details pdf
White
- Kelly White, Samuel Tate, Ross Zafonte, Shrikanth Narayanan, Matthias R Mehl, Min Shin, and Amar Dhand. SocialBit: protocol for a prospective observational study to validate a wearable social sensor for stroke survivors with diverse neurological abilities. BMJ Open, 13(8), British Medical Journal Publishing Group, 2023.
details doi pdf
Woerd}
- Benjamin van der Woerd, Zhuohao Chen, Nikolaos Flemotomos, Maria Oljaca, Lauren Timmons Sund, Shrikanth Narayanan, and Michael M. Johns. A Machine-Learning Algorithm for the Automated Perceptual Evaluation of Dysphonia Severity. Journal of Voice, 2023.
details doi pdf
Wollmer
- Martin Wollmer, Angeliki Metallinou, Athanasios Katsamanis, Bjorn Schuller, and Shrikanth S. Narayanan. ANALYZING THE MEMORY OF BLSTM NEURAL NETWORKS FOR ENHANCED EMOTION CLASSIFICATION IN DYADIC SPOKEN INTERACTIONS. In Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP), mar 2012.
details doi pdf
Wu
- Dongrui Wu, Thomas Parsons, and Shrikanth S. Narayanan. Acoustic Feature Analysis in Speech Emotion Primitives Estimation. In Proceedings of InterSpeech, Makuhari, Japan, sep 2010.
details pdf - Dongrui Wu, Christopher Courtney, Brent Lance, Shrikanth S. Narayanan, Michael Dawson, Kelvin Oie, and Thomas Parsons. Optimal Arousal Identification and Classification for Affective Computing Using Physiological Signals: Virtual Reality Stroop Task. IEEE Transactions on Affective Computing, 1(2):109–118, dec 2010.
details doi pdf - Dongrui Wu, Thomas Parsons, Emily Mower, and Shrikanth S. Narayanan. Speech Emotion Estimation in 3D Space. In Proceedings of 2010 IEEE International Conference on Multimedia & Expo (ICME 2010), pp. 737–742, July 2010.
details doi pdf
Wöllmer
- Martin Wöllmer, Angeliki Metallinou, Florian Eyben, Björn Schuller, and Shrikanth S. Narayanan. Context-Sensitive Multimodal Emotion Recognition from Speech and Facial Expression Using Bidirectional LSTM Modeling. In Proceedings of InterSpeech, pp. 2362–2365, Makuhari, Japan, September 2010.
details pdf
Xezonaki
- Danai Xezonaki, Georgios Paraskevopoulos, Alexandros Potamianos, and Shrikanth Narayanan. Affective Conditioning on Hierarchical Attention Networks applied to Depression Detection from Transcribed Clinical Interviews. In In proceedings of Interspeech, October 2020.
details doi pdf
Xia
- Wei Xia, James Gibson, Bo Xiao, Brian Baucom, and Panayiotis Georgiou. An Acoustic-based Local Sequential Learning Model for Behavioral Analysis of Couple Therapy. In Proceedings of Interspeech, sep 2015.
details
Xiao
- Bo Xiao, Prasanta Kumar Ghosh, Panayiotis Georgiou, and Shrikanth S. Narayanan. Overlapped speech detection using long-term spectro-temporal similarity in stereo recording. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), may 2011.
details doi pdf - Bo Xiao, Dogan Can, Panayiotis Georgiou, David Atkins, and Shrikanth S. Narayanan. Analyzing the Language of Therapist Empathy in Motivational Interview based Psychotherapy. In Proceedings of APSIPA Annual Summit and Conference, dec 2012.
details pdf - Bo Xiao, Panayiotis Georgiou, and Shrikanth S. Narayanan. Multimodal detection of salient behaviors of Approach-Avoidance in dyadic interactions. In Proceedings of the ACM International Conference on Multimodal Interaction (ICMI 2012), oct 2012.
details doi pdf - Bo Xiao, Panayiotis Georgiou, Brian Baucom, and Shrikanth S. Narayanan. Data driven modeling of head motion toward analysis of behaviors in couple interactions. In International Conference on Acoustics, Speech and Signal Processing (ICASSP), may 2013.
details doi pdf - Bo Xiao, Panayiotis Georgiou, Brian Baucom, and Shrikanth S. Narayanan. Head motion synchrony and its correlation to affectivity in dyadic interactions. In Proceedings of the IEEE International Conference on Multimedia & Expo (ICME), jul 2013.
details doi pdf - Bo Xiao, Panayiotis Georgiou, Zac E. Imel, David Atkins, and Shrikanth S. Narayanan. Modeling Therapist Empathy and Vocal Entrainment in Drug Addiction Counseling. In Proceedings of InterSpeech, pp. 2861–2865, August 2013.
details pdf - Bo Xiao, Daniel Bone, Maarten Van Segbroeck, Zac E. Imel, David Atkins, Panayiotis Georgiou, and Shrikanth Narayanan. Modeling Therapist Empathy through Prosody in Drug Addiction Counseling. In Proceedings of Interspeech, sep 2014.
details pdf - Bo Xiao, Panayiotis Georgiou, Brian Baucom, and Shrikanth Narayanan. Power-Spectral Analysis of Head Motion Signal for Behavioral Modeling in Human Interaction. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), may 2014.
details doi pdf - Bo Xiao, Zac E. Imel, David Atkins, Panayiotis Georgiou, and Shrikanth S. Narayanan. Analyzing Speech Rate Entrainment and Its Relation to Therapist Empathy in Drug Addiction Counseling. In Proceedings of Interspeech, sep 2015.
details pdf - Bo Xiao, Panayiotis Georgiou, Brian Baucom, and Shrikanth S. Narayanan. Head Motion Modeling for Human Behavior Analysis in Dyadic Interaction. IEEE Transactions on Multimedia, 17(7):1107–1119, jul 2015.
details doi pdf - Bo Xiao, Brian Baucom, Panayiotis Georgiou, and Shrikanth S. Narayanan. Modeling Head Motion Entrainment for Prediction of Couples' Behavioral Characteristics. In Proceedings of Affective Computing and Intelligent Interaction (ACII), sep 2015.
details doi pdf - Bo Xiao, Zac E. Imel, Panayiotis Georgiou, David Atkins, and Shrikanth S. Narayanan. "Rate my therapist": Automated detection of empathy in drug and alcohol counseling via speech and language processing. PLoS ONE, dec 2015.
details doi pdf - Bo Xiao, Che Wei Huang, Zac E. Imel, David C. Atkins, Panayiotis Georgiou, and Shrikanth S. Narayanan. A technology prototype system for rating therapist empathy from audio recordings in addiction counseling. PeerJ Computer Science, 2(e59), apr 2016.
details doi pdf - Bo Xiao, James Gibson, Dogan Can, Zac E. Imel, David C. Atkins, Panayiotis Georgiou, and Shrikanth S. Narayanan. Behavioral Coding of Therapist Language in Addiction Counseling Using Recurrent Neural Networks. In Proceedings of Interspeech, 2016.
details doi pdf - Bo Xiao, Zac E. Imel, Panayiotis Georgiou, David C. Atkins, and Shrikanth Narayanan. Computational Analysis and Simulation of Empathic Behaviors. A Survey of Empathy Modeling with Behavioral Signal Processing Framework. Current Psychiatry Reports, 18(5):49, may 2016.
details doi pdf - Bo Xiao, Viktor Rozgi\'c, Athanasios Katsamanis, Brian Baucom, Panayiotis Georgiou, and Shrikanth S. Narayanan. Acoustic and Visual Cues of Turn-Taking Dynamics in Dyadic Interactions. In Proceedings of Interspeech, August 2011.
details pdf
Xu
- Anfeng Xu, Tiantian Feng, Somer Bishop, Catherine Lord, and Shrikanth Narayanan. End-to-End Joint ASR and Speaker Role Diarization with Child-Adult Interactions. IEEE Transactions on Audio, Speech and Language Processing, ():1–13, 2026.
details doi pdf - Anfeng Xu, Tiantian Feng, So Hyun Kim, Somer Bishop, Catherine Lord, and Shrikanth Narayanan. Large Language Models based ASR Error Correction for Child Conversations. In Interspeech 2025, pp. 2840–2844, 2025.
details doi HTML - Anfeng Xu, Tiantian Feng, Helen Tager-Flusberg, Catherine Lord, and Shrikanth Narayanan. Data Efficient Child-Adult Speaker Diarization with Simulated Conversations. In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1–5, , 2025.
details doi pdf - Anfeng Xu, Kevin Huang, Tiantian Feng, Lue Shen, Helen Tager-Flusberg, and Shrikanth Narayanan. Exploring Speech Foundation Models for Speaker Diarization in Child-Adult Dyadic Interactions. In Interspeech 2024, pp. 5193–5197, 2024.
details doi - Anfeng Xu, Kevin Huang, Tiantian Feng, Helen Tager-Flusberg, and Shrikanth Narayanan. Audio-Visual Child-Adult Speaker Classification in Dyadic Interactions. In ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 8090–8094, , April 2024.
details doi pdf - Anfeng Xu, Rajat Hebbar, Rimita Lahiri, Tiantian Feng, Lindsay Butler, Lue Shen, Helen Tager-Flusberg, and Shrikanth Narayanan. Understanding Spoken Language Development of Children with ASD Using Pre-trained Speech Embeddings. In Proc. INTERSPEECH 2023, pp. 4633–4637, 2023.
details doi pdf
Yan
- Shen Yan, Hsien-Te Kao, Kristina Lerman, Shrikanth Narayanan, and Emilio Ferrara. Mitigating the Bias of Heterogeneous Human Behavior in Affective Computing. In 2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII), pp. 1–8, 2021.
details doi pdf - Shen Yan, Homa Hosseinmardi, Hsien-Te Kao, Shrikanth Narayanan, Kristina Lerman, and Emilio Ferrara. Estimating Individualized Daily Self-Reported Affect with Wearable Sensors. In Proceedings of 7th IEEE Conference on Healthcare Informatics (ICHI2019), June 2019.
details - Shen Yan, Homa Hosseinmardi, Hsien-Te Kao, Shrikanth Narayanan, Kristina Lerman, and Emilio Ferrara. Affect Estimation with Wearable Sensors. Journal of Healthcare Informatics Research, 2020.
details doi pdf
Yang
- Daniel Yang, Aditya Kommineni, Mohammad Alshehri, Nilamadhab Mohanty, Vedant Modi, Jonathan Gratch, and Shrikanth Narayanan. Context Unlocks Emotions: Text-based Emotion Classification Dataset Auditing with Large Language Models. In 2023 11th International Conference on Affective Computing and Intelligent Interaction (ACII), pp. 1–8, , 2023.
details pdf - Zhaojun Yang, Vikram Ramanarayanan, Dani Byrd, and Shrikanth S. Narayanan. The effect of word frequency and lexical class on articulatory-acoustic coupling. In Proceedings of InterSpeech, aug 2013.
details pdf - Zhaojun Yang, Angeliki Metallinou, and Shrikanth S. Narayanan. Toward Body language Generation in Dyadic Interaction Settings from Interlocutor Multimodal Cues. In International Conference on Acoustics, Speech and Signal Processing (ICASSP), may 2013.
details doi pdf - Zhaojun Yang, Angeliki Metallinou, and Shrikanth S. Narayanan. Analysis and Predictive Modeling of Body Language Behavior in Dyadic Interactions from Multimodal Interlocutor Cues. IEEE Transactions on Multimedia, 16(6):1766–1778, oct 2014.
details doi pdf - Zhaojun Yang and Shrikanth Narayanan. Analysis of Emotional Effect on Speech-Body Gesture Interplay. In Proceedings of Interspeech, sep 2014.
details pdf - Zhaojun Yang, Antonio Ortega, and Shrikanth Narayanan. Gesture Dynamics Modeling For Attitude Analysis Using Graph Based Transform. In Proceedings of IEEE International Conference on Image Processing, oct 2014.
details doi pdf - Zhaojun Yang, Angeliki Metallinou, Engin Erzin, and Shrikanth Narayanan. Analysis of Interaction Attitudes Using Data-driven Hand Gesture Phrases. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), may 2014.
details doi pdf - Zhaojun Yang and Shrikanth S. Narayanan. Modeling mutual influence of multimodal behavior in affective dyadic interactions. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), apr 2015.
details doi pdf - Zhaojun Yang and Shrikanth S. Narayanan. Analyzing Temporal Dynamics of Dyadic Synchrony in Affective Interactions. In Proceedings of Interspeech, pp. 42–46, 2016.
details doi pdf - Zhaojun Yang and Shrikanth S. Narayanan. LIGHTLY-SUPERVISED UTTERANCE-LEVEL EMOTION IDENTIFICATION USING LATENT TOPIC MODELING OF MULTIMODAL WORDS. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), mar 2016.
details doi pdf - Zhaojun Yang and Shrikanth S. Narayanan. Modeling Dynamics of Expressive Body Gestures In Dyadic Interactions. IEEE Transactions on Affective Computing, 2016.
details doi pdf - Zhaojun Yang, Boqing Gong, and Shrikanth Narayanan. Weighted Geodesic Flow Kernel for Interpersonal Mutual Influence Modeling and Emotion Recognition in Dyadic Interactions. In Proceedings of Seventh International Conference on Affective Computing and Intelligent Interaction, pp. 236–241, October 2017.
details doi pdf
Yau
- Joanne Yau, Benjamin Girault, Tiantian Feng, Karel Mundnich, Amrutha Nadarajan, Brandon Booth, Eric Hsieh, Emilio Ferrara, Kristina Lerman, and Shrikanth Narayanan. TILES-2019: A longitudinal physiologic and behavioral data set of medical residents in an intensive care unit. Scientific Data (Nature Research), 9:536, 2022.
details doi pdf
Yildirim
- Serdar Yildirim, Chul Min Lee, Sungbok Lee, Alexandros Potamianos, and Shrikanth S. Narayanan. Detecting politeness and frustration state of a child in a conversational computer game. In Proceedings of InterSpeech, pp. 2209–2212, Lisbon, Portugal, oct 2005.
details pdf - Serdar Yildirim, Shrikanth S. Narayanan, Dani Byrd, and Sonia Khurana. Acoustic analysis of preschool children's speech. In Proceedings of the International Congresses of Phonetic Sciences (ICPhS), Barcelona, Spain, aug 2003.
details pdf - Serdar Yildirim, Murtaza Bulut, Chul Min Lee, Abe Kazemzadeh, Carlos Busso, Zhigang Deng, Sungbok Lee, and Shrikanth S. Narayanan. An acoustic study of emotions expressed in speech. In Proceedings of InterSpeech, pp. 2193–2196, Jeju Island, Korea, oct 2004.
details pdf - Serdar Yildirim and Shrikanth S. Narayanan. An information-theoretic analysis of developmental changes in speech. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. I–480-I-483, Hong Kong, apr 2003.
details doi pdf - Serdar Yildirim and Shrikanth S. Narayanan. Recognizing child’s emotional state in problem-solving child-machine interactions. In Proceedings of the Workshop on Child, Computer and Interaction, Cambridge, MA, nov 2009.
details doi pdf - Serdar Yildirim and Shrikanth S. Narayanan. Automatic detection of disfluency boundaries in spontaneous speech of children using audio-visual information. IEEE Transactions on Audio, Speech, and Language Processing, 17(1):2–12, jan 2009.
details doi pdf - Serdar Yildirim, Shrikanth S. Narayanan, and Alexandros Potamianos. Detecting emotional state of a child in a conversational computer game. Computer Speech and Language, 25(1):29–44, jan 2011.
details doi pdf
Yoo
- Hyun Joo Yoo, Kaoru Nashiro, Jungwon Min, Christine Cho, Noah Mercer, Shelby L Bachman, Padideh Nasseri, Shubir Dutt, Shai Porat, Paul Choi, and others. Multimodal neuroimaging data from a 5-week heart rate variability biofeedback randomized clinical trial. Scientific Data, 10(1):503, Nature Publishing Group UK London, 2023.
details doi pdf
You
- Hong You, Abeer Alwan, Abe Kazemzadeh, and Shrikanth S. Narayanan. Pronunciation variations of Spanish-accented English spoken by young children. In Proceedings of InterSpeech, pp. 749–752, Lisbon, Portugal, oct 2005.
details pdf
Zane
- Emily Zane, Zhaojun Yang, Lucia Pozzan, Tanaya Guha, Shrikanth Narayanan, and Ruth Grossman. Motion-Capture Patterns of Voluntarily Mimicked Dynamic Facial Expressions in Children and Adolescents With and Without ASD. Journal of autism and developmental disorders, 49(3):1062–1079, March 2019.
details doi pdf
Zang
- Tao Zang, Mohamad Awada, Burcin Becerik-Gerber, Shawn C. Roll, Gale Lucas, and Shrikanth Narayanan. Does Your Office Make You Feel Worse? Linking Environmental Exposure and Temporal Factors to Cognitive Symptoms. Indoor Environments, pp. 100171, 2026.
details doi HTML
Zeljkovic
- Ilija Zeljkovic and Shrikanth S. Narayanan. Novel filler acoustic models for connected digit recognition. In Proceedings of InterSpeech, pp. 283–286, 1, Rhodes, Greece, sep 1997.
details - Ilija Zeljkovic, Shrikanth S. Narayanan, and Alexandros Potamianos. Unsupervised HMM adaptation based on speech-silence discrimination. In Proceedings of InterSpeech, pp. 2055–2088, 4, Rhodes, Greece, sep 1997.
details
Zervanou
- Kalliopi Zervanou, Nikolaos Malandrakis, and Shrikanth S. Narayanan. SAIL-GRS: Grammar Induction for Spoken Dialogue Systems using CF-IRF Rule Similarity. In Proceedings of SemEval 2014, aug 2014.
details doi pdf
Zhang
- Yubin Zhang, Prakash Kumar, Ye Tian, Ziwei Zhao, Xuan Shi, Kevin Huang, Kevin Lee, Haley Hsu, Shrikanth Narayanan, Krishna Nayak, and Louis Goldstein. Co-registration of real-time MRI and respiration for speech research. In Interspeech 2025, pp. 983–987, 2025.
details doi HTML - Tuo Zhang, Tiantian Feng, Yibin Ni, Mengqin Cao, Ruying Liu, Kiana Avestimehr, Katharine Butler, Yanjun Weng, Mi Zhang, Shrikanth Narayanan, and Salman Avestimehr. Creating a Lens of Chinese Culture: A Multimodal Dataset for Chinese Pun Rebus Art Understanding. In Findings of the Association for Computational Linguistics: ACL 2025, pp. 22473–22487, Association for Computational Linguistics, Vienna, Austria, July 2025.
details doi HTML - Xinyao Zhang, Simon B Goldberg, Scott A Baldwin, Michael J Tanana, Lauren M Weitzman, Shrikanth S Narayanan, David C Atkins, and Zac E Imel. Association of Machine Learning Rated Supportive Counseling Skills with Psychotherapy Outcome. Journal of Consulting and Clinical Psychology, 93(2), 2025.
details - Tuo Zhang, Tiantian Feng, Samiul Alam, Sunwoo Lee, Mi Zhang, Shrikanth S Narayanan, and Salman Avestimehr. FedAudio: A Federated Learning Benchmark for Audio Tasks. In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1–5, , 2023.
details doi pdf - Xinyao Zhang, Michael Tanana, Lauren Weitzman, Shrikanth Narayanan, David Atkins, and Zac Imel. You never know what you are going to get: Large-scale assessment of therapists’ supportive counseling skill use.. Psychotherapy, Educational Publishing Foundation, 2022.
details
Zhao
- Ziwei Zhao, Yongwan Lim, Dani Byrd, Shrikanth Narayanan, and Krishna S. Nayak. Improved 3D real-time MRI of speech production. Magnetic Resonance in Medicine, 0(0):1–14, 2021.
details doi HTML
Zhu
- Yinghua Zhu, Yoon-Chul Kim, Michael I. Proctor, Shrikanth S. Narayanan, and Krishna S. Nayak. Dynamic 3D visualization of vocal tract shaping during speech. In Proc. ISMRM 19th Scientific Sessions, pp. 4355, may 2011.
details doi pdf - Yinghua Zhu, Yoon-Chul Kim, Michael I. Proctor, Shrikanth S. Narayanan, and Krishna S. Nayak. Towards Dynamic 3D MRI of Speech. In Proc. ISMRM 20th Scientific Sessions, pp. 294 [ISMRM Merit Awards: Magna Cum Laude], may 2012.
details pdf - Yinghua Zhu, Asterios Toutios, Shrikanth S. Narayanan, and Krishna S. Nayak. Faster 3D Vocal Tract Real-time MRI Using Constrained Reconstruction. In Proceedings of InterSpeech, aug 2013.
details pdf - Yinghua Zhu, Shrikanth S. Narayanan, and Krishna S. Nayak. Flexible Dynamic Phantoms for Evaluating MRI Data Sampling and Reconstruction Methods. In Proc. ISMRM Workshop on Data Sampling and Image Reconstruction, feb 2013.
details pdf
Zu
- Yihe Zu, Shrikanth S. Narayanan, Yoon-Chul Kim, Krishna S. Nayak, Christina Bronson-Lowe, Brenda Villegas, Melody Ouyoung, and Uttam Sinha. Evaluation of swallow function post tongue cancer treatment using real-time MRI: A pilot study. JAMA Otolaryngology - Head & Neck Surgery, 139(12):1312–1319, dec 2013.
details doi pdf
Giannakopoulos
- T. Giannakopoulos, S. Dimopoulos, G. Pantazopoulos, A. Chatziagapi, D. Sgouropoulos, A. Katsamanis, A. Potamianos, and S. Narayanan. Using Oliver API for emotion-aware movie content characterization. In Proceedings 2019 International Conference on Content-Based Multimedia Indexing (CBMI), September 2019.
details
Generated by bib2html.pl (written by Patrick Riley ) on Tue Jul 21, 2026 14:41:39
