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SAIL Publications

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2025

  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • Nicholas Mehlman and Shri Narayanan. Adversarial Robustness of Self-Supervised Learning Features. IEEE Open Journal of Signal Processing, 6():468–477, 2025.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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2024

  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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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  • 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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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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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  • 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.
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  • 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.
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  • 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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2023

  • 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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  • 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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  • 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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  • 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 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.
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  • Reed Blaylock and Shrikanth Narayanan. Beatboxing Kick Drum Kinematics. In Proc. INTERSPEECH 2023, pp. 2583–2587, 2023.
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  • 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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  • 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.
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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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  • 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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  • 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.
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  • 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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  • 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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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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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  • 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.
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  • 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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  • 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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  • 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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  • 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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  • 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.
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  • 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.
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  • 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.
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  • 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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