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SAIL Publications

AggarwalAgrawalAlexanderAlwanAnanthakrishnanAnnavaramAntoniouArdulovArevianArunachalamAudhkhasiAvramidisAwadaBalasubramanianBangayanBaruahBaucomBelvinBenitezBerkelBlackBlaylockBoneBoothBoseBreschBulutBuntschuhBurghardtBussoByrdC.CakmakCanCassaniCenChakravarthulaChakravarthula}ChangChaspariChatziagapiChenChiuChochlakisChoudharyChuCreedDengDhandDibazarDuranteDuttonEmkenEspy-WilsonEttelaieEybenFabbrizioFarahaniFarantouriFengFlemotomosFrankGaballahGanapathyGanjaviGeorgiouGerosaGhoshGibsonGiraultGoldbergGoyalGreerGrimmGrunwaldGuhaGuptaGurunathHadjiantonisHagedornHanHarperHebbarHirschHosseinmardiHsiehHuangImelIsraelJatiJohnsonJungKalinliKammKaoKatoKatsamanisKazemzadehKimKnoxKrishnamachariKumarKuoKwonL'HommedieuLahiriLajonchereLammertLeeLevinLiLimLinLingalaLiuLordLuoLynnMaMalandrakisMartinezMcErleanMcKernanMcMickenMeesookhoMehlmanMeirelesMelistasMetallinouMitraMolinaMontanariMonteserinMorbiniMoschopoulosMoteMouchtarisMowerMundnichMurrayNadarajanNamNarayananNashiroNasirNavaOhPacePalPalogiannidiPapadopoulosParkParomitaParrellPatilPazPeriPotamianosPranjalPrasadPriceProctorQinRahimRamakrishnaRamanarayananRangarajanRaoRavuriRiccardiRichardRoqueRoseRostamiRozgicSchullerSebastianSethyShahSharmaSharonShiShieldShihShinShivakumarShivakumar}SilvaSinglaSivakumarSkordilisSmithSomaSomandapelliSomandepalliSorensenSpruijt-MetzSridharSrinivasamurthyStewartSubramanyamSuendermannSundaramSwartoutTadimariTanTavabiTeppermanThatteThomasTianTimmonsTiwariTothToutiosTraumTravadiTsengTsiartasTsuzukiTögerUnalVanVazWalkerWangWhiteWoerd}WollmerWuWöllmerXezonakiXiaXiaoXuYanYangYauYildirimYooYouZaneZeljkovicZervanouZhangZhaoZhuZuGiannakopoulos


Aggarwal

Agrawal

Alexander

Alwan

Ananthakrishnan

Annavaram

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.
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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.
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  • 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.
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  • 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.
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  • 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.
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Arevian

Arunachalam

Audhkhasi

Avramidis

  • 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.
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  • 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.
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  • 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.
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  • 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.
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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.
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Balasubramanian

Bangayan

Baruah

Baucom

Belvin

Benitez

Berkel

Black

Blaylock

Bone

Booth

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.
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  • 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.
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  • 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.
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  • 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
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Bresch

Bulut

Buntschuh

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.
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  • 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.
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Busso

Byrd

C.

Cakmak

Can

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.
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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.
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Chakravarthula

Chakravarthula}

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.
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Chaspari

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.
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  • 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.
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Chen

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.
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Chochlakis

  • 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.
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  • 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.
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Choudhary

Chu

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.
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  • 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.
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Deng

Dhand

  • 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.
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Dibazar

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.
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Dutton

Emken

Espy-Wilson

Ettelaie

Eyben

Fabbrizio

Farahani

Farantouri

Feng

  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • Tiantian Feng and Shrikanth Narayanan. Modeling Behavioral Consistency In Large-Scale Wearable Recordings of Human Bio-behavioral Signals. In Proceedings of ICASSP, May 2020.
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  • 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.
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  • 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.
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Flemotomos

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.
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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.
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Ganapathy

Ganjavi

Georgiou

Gerosa

Ghosh

Gibson

Girault

Goldberg

Goyal

Greer

Grimm

Grunwald

Guha

Gupta

Gurunath

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.
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Hagedorn

Han

Harper

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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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Hirsch

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.
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Hsieh

Huang

  • Che Wei Huang, Bo Xiao, Panayiotis Georgiou, and Shrikanth Narayanan. Unsupervised Speaker Diarization Using Riemannian Manifold Clustering. In Proceedings of Interspeech, sep 2014.
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  • Che Wei Huang and Shrikanth S. Narayanan. Attention Assisted Discovery of Sub-Utterance Structure in Speech Emotion Recognition. In Proceedings of Interspeech, 2016.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • Che-Wei Huang and Shrikanth Narayanan. SHAKING ACOUSTIC SPECTRAL SUB-BANDS CAN BETTER REGULARIZE LEARNING IN AFFECTIVE COMPUTING. In Proceedings of ICASSP, April 2018.
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  • Che-Wei Huang and Shrikanth S. Narayanan. Stochastic Shake-Shake Regularization for Affective Learning from Speech. In Proceedings of InterSpeech, Hyderabad, India, sep 2018.
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  • 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.
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Imel

Israel

Jati

Johnson

Jung

Kalinli

Kamm

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.
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  • 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.
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  • 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.
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Kato

Katsamanis

Kazemzadeh

Kim

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.
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Krishnamachari

Kumar

Kuo

Kwon

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.
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Lahiri

Lajonchere

Lammert

Lee

Levin

Li

Lim

Lin

Lingala

Liu

Lord

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.
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Lynn

Ma

  • 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.
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  • 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.
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Malandrakis

Martinez

McErlean

McKernan

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.
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Meesookho

Mehlman

  • 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.
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  • 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.
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Meireles

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.
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Metallinou

Mitra

Molina

Montanari

Monteserin

Morbini

Moschopoulos

Mote

Mouchtaris

Mower

Mundnich

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.
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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.
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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.
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Narayanan

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.
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Nasir

Nava

Oh

Pace

Pal

Palogiannidi

Papadopoulos

Park

Paromita

Parrell

Patil

Paz

  • 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.
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Peri

  • Raghuveer Peri, Krishna Somandepalli, and Shrikanth Narayanan. A study of bias mitigation strategies for speaker recognition. Computer Speech & Language, 79:101481, 2023.
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  • 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.
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  • Raghuveer Peri, Monisankha Pal, Arindam Jati, Krishna Somandepalli, and Shrikanth Narayanan. Robust speaker recognition using unsupervised adversarial invariance. In Proceedings of ICASSP, May 2020.
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Potamianos

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.
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Prasad

Price

Proctor

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.
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Rahim

Ramakrishna

Ramanarayanan

Rangarajan

Rao

Ravuri

Riccardi

Richard

Roque

Rose

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.
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Rozgic

Schuller

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.
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Sethy

Shah

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.
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  • Rahul Sharma, Krishna Somandepalli, and Shrikanth Narayanan. Cross modal video representations for weakly supervised active speaker localization. IEEE Transactions on Multimedia, ():1–12, 2022.
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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.
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  • Rini Sharon, Shrikanth Narayanan, Mriganka Sur, and Hema Murthy. Neural Speech Decoding During Audition, Imagination and Production. IEEE Access, 8:149714 – 149729, August 2020.
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Shi

  • 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.
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Shield

Shih

Shin

Shivakumar

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.
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Silva

Singla

Sivakumar

Skordilis

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.
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  • 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.
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  • 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.
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  • 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.
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Soma

Somandapelli

Somandepalli

Sorensen

Spruijt-Metz

Sridhar

Srinivasamurthy

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.
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Subramanyam

Suendermann

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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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Swartout

Tadimari

Tan

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.
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Tepperman

Thatte

Thomas

Tian

Timmons

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.
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  • 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.
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  • 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.
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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.
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Toutios

Traum

Travadi

Tseng

Tsiartas

Tsuzuki

Töger

Unal

Van

Vaz

Walker

Wang

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.
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Woerd}

Wollmer

Wu

Wöllmer

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.
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Xia

Xiao

Xu

  • 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.
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  • 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.
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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.
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  • 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.
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  • 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.
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Yang

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.
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Yildirim

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.
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You

Zane

Zeljkovic

Zervanou

Zhang

  • 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.
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  • 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.
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Zhao

Zhu

Zu

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.
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