Publications
This section contains publications published by ISI over the past several decades.
2023
Robust self supervised speech embeddings for child-adult classification in interactions involving children with autism
Rimita Lahiri, Tiantian Feng, Rajat Hebbar, Catherine Lord, So Hyun Kim, Shrikanth Narayanan
arXiv preprint arXiv:2307.16398, 2023
Multimodal neuroimaging data from a 5-week heart rate variability biofeedback randomized clinical trial
Hyun Joo Yoo, Kaoru Nashiro, Jungwon Min, Christine Cho, Noah Mercer, Shelby L Bachman, Padideh Nasseri, Shubir Dutt, Shai Porat, Paul Choi, Yong Zhang, Vardui Grigoryan, Tiantian Feng, Julian F Thayer, Paul Lehrer, Catie Chang, Jeffrey A Stanley, Elizabeth Head, Jeremy Rouanet, Vasilis Z Marmarelis, Shrikanth Narayanan, Jessica Wisnowski, Daniel A Nation, Mara Mather
Scientific Data 10 (1), 503, 2023
Wearable and mobile technologies for the evaluation and treatment of obsessive-compulsive disorder: scoping review
Adam C Frank, Ruibei Li, Bradley S Peterson, Shrikanth S Narayanan
JMIR Mental Health 10, e45572, 2023
Learning Behavioral Representations of Routines From Large-scale Unlabeled Wearable Time-series Data Streams using Hawkes Point Process
Tiantian Feng, Brandon M Booth, Shrikanth Narayanan
arXiv preprint arXiv:2307.04445, 2023
A machine-learning algorithm for the automated perceptual evaluation of dysphonia severity
Benjamin van der Woerd, Zhuohao Chen, Nikolaos Flemotomos, Maria Oljaca, Lauren Timmons Sund, Shrikanth Narayanan, Michael M Johns
Journal of Voice, 2023
Creating musical features using multi-faceted, multi-task encoders based on transformers
Timothy Greer, Xuan Shi, Benjamin Ma, Shrikanth Narayanan
Scientific Reports 13 (1), 10713, 2023
A machine learning approach to improve implementation monitoring of family-based preventive interventions in primary care
Cady Berkel, Dillon C Knox, Nikolaos Flemotomos, Victor R Martinez, David C Atkins, Shrikanth S Narayanan, Lizeth Alonso Rodriguez, Carlos G Gallo, Justin D Smith
Implementation Research and Practice 4, 26334895231187906, 2023
Character coreference resolution in movie screenplays
Sabyasachee Baruah, Shrikanth Narayanan
Findings of the Association for Computational Linguistics: ACL 2023, 10300-10313, 2023
An engineering view on emotions and speech: From analysis and predictive models to responsible human-centered applications
Chi-Chun Lee, Theodora Chaspari, Emily Mower Provost, Shrikanth S Narayanan
Proceedings of the IEEE 111 (10), 1142-1158, 2023
Unlocking Foundation Models for Privacy-Enhancing Speech Understanding: An Early Study on Low Resource Speech Training Leveraging Label-guided Synthetic Speech Content
Tiantian Feng, Digbalay Bose, Xuan Shi, Shrikanth Narayanan
arXiv preprint arXiv:2306.07791, 2023
Modeling inter-individual differences in ambulatory-based multimodal signals via metric learning: a case study of personalized well-being estimation of healthcare workers
Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon M Booth, Shrikanth S Narayanan, Theodora Chaspari
Frontiers in Digital Health 5, 1195795, 2023
Navigating and Reaching Therapeutic Goals with Dynamical Systems in Conversation-Based Interventions
Victor Ardulov, Shrikanth Narayanan
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
Signal processing grand challenge 2023–e-prevention: Sleep behavior as an indicator of relapses in psychotic patients
Kleanthis Avramidis, Kranti Adsul, Digbalay Bose, Shrikanth Narayanan
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
On the role of visual context in enriching music representations
Kleanthis Avramidis, Shanti Stewart, Shrikanth Narayanan
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
Toward Privacy-Enhancing Ambulatory-Based Well-Being Monitoring: Investigating User Re-Identification Risk in Multimodal Data
Ravi Pranjal, Ranjana Seshadri, Rakesh Kumar Sanath Kumar Kadaba, Tiantian Feng, Shrikanth S Narayanan, Theodora Chaspari
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
Designing and evaluating speech emotion recognition systems: A reality check case study with iemocap
Nikolaos Antoniou, Athanasios Katsamanis, Theodoros Giannakopoulos, Shrikanth Narayanan
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
Contextually-rich human affect perception using multimodal scene information
Digbalay Bose, Rajat Hebbar, Krishna Somandepalli, Shrikanth Narayanan
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
A dataset for audio-visual sound event detection in movies
Rajat Hebbar, Digbalay Bose, Krishna Somandepalli, Veena Vijai, Shrikanth Narayanan
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
Can Knowledge of End-to-End Text-to-Speech Models Improve Neural Midi-to-Audio Synthesis Systems?
Xuan Shi, Erica Cooper, Xin Wang, Junichi Yamagishi, Shrikanth Narayanan
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
A context-aware computational approach for measuring vocal entrainment in dyadic conversations
Rimita Lahiri, Md Nasir, Catherine Lord, So Hyun Kim, Shrikanth Narayanan
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023