Publications
This section contains publications published by ISI over the past several decades.
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
Tensor embedding: A supervised framework for human behavioral data mining and prediction
Homa Hosseinmardi, Amir Ghasemian, Kristina Lerman, Shrikanth Narayanan, Emilio Ferrara
2023 IEEE 11th International Conference on Healthcare Informatics (ICHI), 91-100, 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
Using emotion embeddings to transfer knowledge between emotions, languages, and annotation formats
Georgios Chochlakis, Gireesh Mahajan, Sabyasachee Baruah, Keith Burghardt, Kristina Lerman, Shrikanth Narayanan
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
Leveraging label correlations in a multi-label setting: A case study in emotion
Georgios Chochlakis, Gireesh Mahajan, Sabyasachee Baruah, Keith Burghardt, Kristina Lerman, Shrikanth Narayanan
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023