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  • 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 SLP BSP

  • 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 BSP

  • 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 CMI

  • 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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  • 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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  • 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.
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  • Cady Berkel, Dillon C Knox, Nikolaos Flemotomos, Victor R Martinez, David C Atkins, Shrikanth 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.
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  • Reed Blaylock and Shrikanth Narayanan. Beatboxing Kick Drum Kinematics. In Proc. INTERSPEECH 2023, pp. 2583–2587, 2023.
    details     doi    pdf  SPAN CMI

  • 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.
    details    pdf  CMI

  • 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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  • 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.
    details     doi    pdf  TAI

  • 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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  • 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  BioSP BSP

  • 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  CMI

  • 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.
    details     doi    pdf  CMI

  • 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  BSP SLP

  • 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  BSP SLP

  • 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  BSP SLP

  • 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  BSP SLP TAI

  • 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  SLP TAI

  • 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  SLP TAI

  • 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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  • 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  BSP BioSP

  • 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  SLP TAI

  • 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  BSP TAI BioSP

  • 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  CMI SLP

  • 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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  • 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.
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  • 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  BSP BioSP

  • 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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  • 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.
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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.
    details     doi    pdf  BSP SLP

  • 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  CMI BSP

  • 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  BSP BioSP

  • 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  TAI SLP

  • 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  BioSP

  • 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  CMI

  • 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  BioSP

  • 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  SLP

  • 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  BSP SLP

  • 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  BSP SLP

  • 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  BSP

  • 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  TAI

  • 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  CMI

  • 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.
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  • 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  BioSP

  • 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  CMI

  • 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.
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  • Thanks to: Øyvind Stegard

    Created: 2022-05-01 sø. 22:43