Shrikanth Narayanan

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 197

Top Venues

Publications

Tiantian Feng, Dimitrios Dimitriadis, Shrikanth Narayanan
Can Synthetic Audio From Generative Foundation Models Assist Audio Recognition and Speech Modeling? CoRR (2024)
Hong Nguyen, Hoang Nguyen, Melinda Chang, Hieu Pham, Shrikanth Narayanan, Michael Pazzani
ConPro: Learning Severity Representation for Medical Images using Contrastive Learning and Preference Optimization. CoRR (2024)
Shanti Stewart, Kleanthis Avramidis, Tiantian Feng, Shrikanth Narayanan
Emotion-Aligned Contrastive Learning Between Images and Music. ICASSP (2024)
Jihwan Lee, Aditya Kommineni, Tiantian Feng, Kleanthis Avramidis, Xuan Shi, Sudarsana Kadiri, Shrikanth Narayanan
Toward Fully-End-to-End Listened Speech Decoding from EEG Signals. CoRR (2024)
Anfeng Xu, Kevin Huang, Tiantian Feng, Lue Shen, Helen Tager-Flusberg, Shrikanth Narayanan
Exploring Speech Foundation Models for Speaker Diarization in Child-Adult Dyadic Interactions. CoRR (2024)
Tiantian Feng, Rajat Hebbar, Shrikanth Narayanan
TRUST-SER: On The Trustworthiness Of Fine-Tuning Pre-Trained Speech Embeddings For Speech Emotion Recognition. ICASSP (2024)
Aditya Kommineni, Kleanthis Avramidis, Richard Leahy, Shrikanth Narayanan
Knowledge-guided EEG Representation Learning. CoRR (2024)
Tiantian Feng, Daniel Yang, Digbalay Bose, Shrikanth Narayanan
Can Text-to-image Model Assist Multi-modal Learning for Visual Recognition with Visual Modality Missing? CoRR (2024)
Yoonsoo Nam, Adam Lehavi, Daniel Yang, Digbalay Bose, Swabha Swayamdipta, Shrikanth Narayanan
Does Video Summarization Require Videos? Quantifying the Effectiveness of Language in Video Summarization. ICASSP (2024)
Tiantian Feng, Shrikanth Narayanan
Foundation Model Assisted Automatic Speech Emotion Recognition: Transcribing, Annotating, and Augmenting. ICASSP (2024)
Keith Burghardt, Ashwin Rao, Georgios Chochlakis, Sabyasachee Baruah, Siyi Guo, Zihao He, Andrew Rojecki, Shrikanth Narayanan, Kristina Lerman
Socio-Linguistic Characteristics of Coordinated Inauthentic Accounts. ICWSM (2024)
Sabyasachee Baruah, Shrikanth Narayanan
Character Attribute Extraction from Movie Scripts Using LLMs. ICASSP (2024)
Anfeng Xu, Kevin Huang, Tiantian Feng, Helen Tager-Flusberg, Shrikanth Narayanan
Audio-Visual Child-Adult Speaker Classification in Dyadic Interactions. ICASSP (2024)
Angelly Cabrera, Kleanthis Avramidis, Shrikanth Narayanan
Early Detection of Coffee Leaf Rust Through Convolutional Neural Networks Trained on Low-Resolution Images. CoRR (2024)
Tiantian Feng, Shrikanth Narayanan
Understanding Stress, Burnout, and Behavioral Patterns in Medical Residents Using Large-scale Longitudinal Wearable Recordings. CoRR (2024)
Georgios Chochlakis, Alexandros Potamianos, Kristina Lerman, Shrikanth Narayanan
The Strong Pull of Prior Knowledge in Large Language Models and Its Impact on Emotion Recognition. CoRR (2024)
Tiantian Feng, Brandon M. Booth, Shrikanth Narayanan
Learning Behavioral Representations of Routines From Large-scale Unlabeled Wearable Time-series Data Streams using Hawkes Point Process. CoRR (2023)
Tiantian Feng, Digbalay Bose, Tuo Zhang, Rajat Hebbar, Anil Ramakrishna, Rahul Gupta, Mi Zhang, Salman Avestimehr, Shrikanth Narayanan
FedMultimodal: A Benchmark for Multimodal Federated Learning. KDD (2023)
Reed Blaylock, Shrikanth Narayanan
Beatboxing Kick Drum Kinematics. INTERSPEECH (2023)
Tiantian Feng, Shrikanth Narayanan
Foundation Model Assisted Automatic Speech Emotion Recognition: Transcribing, Annotating, and Augmenting. CoRR (2023)
Digbalay Bose, Rajat Hebbar, Tiantian Feng, Krishna Somandepalli, Anfeng Xu, Shrikanth Narayanan
MM-AU: Towards Multimodal Understanding of Advertisement Videos. ACM Multimedia (2023)
Xuan Shi, Erica Cooper, Xin Wang, Junichi Yamagishi, Shrikanth Narayanan
Can Knowledge of End-to-End Text-to-Speech Models Improve Neural Midi-to-Audio Synthesis Systems? ICASSP (2023)
Tiantian Feng, Shrikanth Narayanan
PEFT-SER: On the Use of Parameter Efficient Transfer Learning Approaches For Speech Emotion Recognition Using Pre-trained Speech Models. CoRR (2023)
Homa Hosseinmardi, Amir Ghasemian, Kristina Lerman, Shrikanth Narayanan, Emilio Ferrara
Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and Prediction. ICHI (2023)
Georgios Chochlakis, Gireesh Mahajan, Sabyasachee Baruah, Keith Burghardt, Kristina Lerman, Shrikanth Narayanan
Using Emotion Embeddings to Transfer Knowledge between Emotions, Languages, and Annotation Formats. ICASSP (2023)
Rajat Hebbar, Digbalay Bose, Krishna Somandepalli, Veena Vijai, Shrikanth Narayanan
A dataset for Audio-Visual Sound Event Detection in Movies. CoRR (2023)
Shrikanth Narayanan
Bridging Speech Science and Technology - Now and Into the Future. INTERSPEECH (2023)
Rimita Lahiri, Md. Nasir, Catherine Lord, So Hyun Kim, Shrikanth Narayanan
A Context-Aware Computational Approach for Measuring Vocal Entrainment in Dyadic Conversations. ICASSP (2023)
Raghuveer Peri, Krishna Somandepalli, Shrikanth Narayanan
A study of bias mitigation strategies for speaker recognition. Comput. Speech Lang. 79 (2023)
Nikolaos Antoniou, Athanasios Katsamanis, Theodoros Giannakopoulos, Shrikanth Narayanan
Designing and Evaluating Speech Emotion Recognition Systems: A reality check case study with IEMOCAP. CoRR (2023)
Digbalay Bose, Rajat Hebbar, Krishna Somandepalli, Haoyang Zhang, Yin Cui, Kree Cole-McLaughlin, Huisheng Wang, Shrikanth Narayanan
MovieCLIP: Visual Scene Recognition in Movies. WACV (2023)
Kleanthis Avramidis, Kranti Adsul, Digbalay Bose, Shrikanth Narayanan
Signal Processing Grand Challenge 2023 - E-Prevention: Sleep Behavior as an Indicator of Relapses in Psychotic Patients. ICASSP (2023)
Anfeng Xu, Kevin Huang, Tiantian Feng, Helen Tager-Flusberg, Shrikanth Narayanan
Audio-visual child-adult speaker classification in dyadic interactions. CoRR (2023)
Rajat Hebbar, Digbalay Bose, Krishna Somandepalli, Veena Vijai, Shrikanth Narayanan
A Dataset for Audio-Visual Sound Event Detection in Movies. ICASSP (2023)
Hong Nguyen, Cuong V. Nguyen, Shrikanth Narayanan, Benjamin Y. Xu, Michael Pazzani
Explainable Severity ranking via pairwise n-hidden comparison: a case study of glaucoma. CoRR (2023)
Tiantian Feng, Rajat Hebbar, Shrikanth Narayanan
TrustSER: On the Trustworthiness of Fine-tuning Pre-trained Speech Embeddings For Speech Emotion Recognition. CoRR (2023)
Kleanthis Avramidis, Dominika Kunc, Bartosz Perz, Kranti Adsul, Tiantian Feng, Przemyslaw Kazienko, Stanislaw Saganowski, Shrikanth Narayanan
Scaling Representation Learning from Ubiquitous ECG with State-Space Models. CoRR (2023)
Anfeng Xu, Rajat Hebbar, Rimita Lahiri, Tiantian Feng, Lindsay Butler, Lue Shen, Helen Tager-Flusberg, Shrikanth Narayanan
Understanding Spoken Language Development of Children with ASD Using Pre-trained Speech Embeddings. CoRR (2023)
Mohammad Rostami, Digbalay Bose, Shrikanth Narayanan, Aram Galstyan
Domain Adaptation for Sentiment Analysis Using Robust Internal Representations. EMNLP (Findings) (2023)
Victor Ardulov, Shrikanth Narayanan
Navigating and Reaching Therapeutic Goals with Dynamical Systems in Conversation-Based Interventions. ICASSP (2023)
Tiantian Feng, Shrikanth Narayanan
PEFT-SER: On the Use of Parameter Efficient Transfer Learning Approaches For Speech Emotion Recognition Using Pre-trained Speech Models. ACII (2023)
Georgios Chochlakis, Gireesh Mahajan, Sabyasachee Baruah, Keith Burghardt, Kristina Lerman, Shrikanth Narayanan
Leveraging Label Correlations in a Multi-Label Setting: a Case Study in Emotion. ICASSP (2023)
Kleanthis Avramidis, Tiantian Feng, Digbalay Bose, Shrikanth Narayanan
Multimodal Estimation Of Change Points Of Physiological Arousal During Driving. ICASSP Workshops (2023)
Digbalay Bose, Rajat Hebbar, Tiantian Feng, Krishna Somandepalli, Anfeng Xu, Shrikanth Narayanan
MM-AU: Towards Multimodal Understanding of Advertisement Videos. CoRR (2023)
Tiantian Feng, Digbalay Bose, Tuo Zhang, Rajat Hebbar, Anil Ramakrishna, Rahul Gupta, Mi Zhang, Salman Avestimehr, Shrikanth Narayanan
FedMultimodal: A Benchmark For Multimodal Federated Learning. CoRR (2023)
Kleanthis Avramidis, Kranti Adsul, Digbalay Bose, Shrikanth Narayanan
Signal Processing Grand Challenge 2023 - e-Prevention: Sleep Behavior as an Indicator of Relapses in Psychotic Patients. CoRR (2023)
Nikolaos Antoniou, Athanasios Katsamanis, Theodoros Giannakopoulos, Shrikanth Narayanan
Designing and Evaluating Speech Emotion Recognition Systems: A Reality Check Case Study with IEMOCAP. ICASSP (2023)
Digbalay Bose, Rajat Hebbar, Krishna Somandepalli, Shrikanth Narayanan
Contextually-rich human affect perception using multimodal scene information. CoRR (2023)
Anfeng Xu, Rajat Hebbar, Rimita Lahiri, Tiantian Feng, Lindsay Butler, Lue Shen, Helen Tager-Flusberg, Shrikanth Narayanan
Understanding Spoken Language Development of Children with ASD Using Pre-trained Speech Embeddings. INTERSPEECH (2023)
Daniel Yang, Aditya Kommineni, Mohammad Alshehri, Nilamadhab Mohanty, Vedant Modi, Jonathan Gratch, Shrikanth Narayanan
Context Unlocks Emotions: Text-based Emotion Classification Dataset Auditing with Large Language Models. CoRR (2023)
Rahul Sharma, Krishna Somandepalli, Shrikanth Narayanan
Cross Modal Video Representations for Weakly Supervised Active Speaker Localization. IEEE Trans. Multim. 25 (2023)
Sabyasachee Baruah, Shrikanth Narayanan
Character Coreference Resolution in Movie Screenplays. ACL (Findings) (2023)
Daniel Yang, Aditya Kommineni, Mohammad Alshehri, Nilamadhab Mohanty, Vedant Modi, Jonathan Gratch, Shrikanth Narayanan
Context Unlocks Emotions: Text-based Emotion Classification Dataset Auditing with Large Language Models. ACII (2023)
Kleanthis Avramidis, Shanti Stewart, Shrikanth Narayanan
On the Role of Visual Context in Enriching Music Representations. ICASSP (2023)
Rajat Hebbar, Digbalay Bose, Shrikanth Narayanan
SEAR: Semantically-grounded Audio Representations. ACM Multimedia (2023)
Rimita Lahiri, Tiantian Feng, Rajat Hebbar, Catherine Lord, So Hyun Kim, Shrikanth Narayanan
Robust Self Supervised Speech Embeddings for Child-Adult Classification in Interactions involving Children with Autism. INTERSPEECH (2023)
Yoonsoo Nam, Adam Lehavi, Daniel Yang, Digbalay Bose, Swabha Swayamdipta, Shrikanth Narayanan
Does Video Summarization Require Videos? Quantifying the Effectiveness of Language in Video Summarization. CoRR (2023)
Shanti Stewart, Tiantian Feng, Kleanthis Avramidis, Shrikanth Narayanan
Emotion-Aligned Contrastive Learning Between Images and Music. CoRR (2023)
Digbalay Bose, Rajat Hebbar, Krishna Somandepalli, Shrikanth Narayanan
Contextually-Rich Human Affect Perception Using Multimodal Scene Information. ICASSP (2023)
Thomas Melistas, Lefteris Kapelonis, Nikolaos Antoniou, Petros Mitseas, Dimitris Sgouropoulos, Theodoros Giannakopoulos, Athanasios Katsamanis, Shrikanth Narayanan
Cross-Lingual Features for Alzheimer's Dementia Detection from Speech. INTERSPEECH (2023)
Tiantian Feng, Digbalay Bose, Xuan Shi, Shrikanth Narayanan
Unlocking Foundation Models for Privacy-Enhancing Speech Understanding: An Early Study on Low Resource Speech Training Leveraging Label-guided Synthetic Speech Content. CoRR (2023)
Nikolaos Flemotomos, Shrikanth Narayanan
Multimodal Clustering with Role Induced Constraints for Speaker Diarization. CoRR (2022)
Digbalay Bose, Rajat Hebbar, Krishna Somandepalli, Haoyang Zhang, Yin Cui, Kree Cole-McLaughlin, Huisheng Wang, Shrikanth Narayanan
MovieCLIP: Visual Scene Recognition in Movies. CoRR (2022)
Kleanthis Avramidis, Tiantian Feng, Digbalay Bose, Shrikanth Narayanan
Multimodal Estimation of Change Points of Physiological Arousal in Drivers. CoRR (2022)
Prashanth Gurunath Shivakumar, Shrikanth Narayanan
End-to-end neural systems for automatic children speech recognition: An empirical study. Comput. Speech Lang. 72 (2022)
Tae Jin Park, Naoyuki Kanda, Dimitrios Dimitriadis, Kyu J. Han, Shinji Watanabe, Shrikanth Narayanan
A review of speaker diarization: Recent advances with deep learning. Comput. Speech Lang. 72 (2022)
Tiantian Feng, Raghuveer Peri, Shrikanth Narayanan
User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition in Federated Learning. CoRR (2022)
Tiantian Feng, Shrikanth Narayanan
Semi-FedSER: Semi-supervised Learning for Speech Emotion Recognition On Federated Learning using Multiview Pseudo-Labeling. CoRR (2022)
Krishna Somandepalli, Rajat Hebbar, Shrikanth Narayanan
Robust Character Labeling in Movie Videos: Data Resources and Self-Supervised Feature Adaptation. IEEE Trans. Multim. 24 (2022)
Nikolaos Flemotomos, Shrikanth Narayanan
Multimodal Clustering with Role Induced Constraints for Speaker Diarization. INTERSPEECH (2022)
Rahul Sharma, Shrikanth Narayanan
Audio-Visual Activity Guided Cross-Modal Identity Association for Active Speaker Detection. CoRR (2022)
Kleanthis Avramidis, Mohammad Rostami, Melinda Chang, Shrikanth Narayanan
Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning. ICIP (2022)
Aggelina Chatziagapi, Dimitris Sgouropoulos, Constantinos Karouzos, Thomas Melistas, Theodoros Giannakopoulos, Athanasios Katsamanis, Shrikanth Narayanan
Audio and ASR-based Filled Pause Detection. ACII (2022)
Tiantian Feng, Shrikanth Narayanan
Semi-FedSER: Semi-supervised Learning for Speech Emotion Recognition On Federated Learning using Multiview Pseudo-Labeling. INTERSPEECH (2022)
Zhuohao Chen, Nikolaos Flemotomos, Zac E. Imel, David C. Atkins, Shrikanth Narayanan
Leveraging Open Data and Task Augmentation to Automated Behavioral Coding of Psychotherapy Conversations in Low-Resource Scenarios. CoRR (2022)
Zhuohao Chen, Nikolaos Flemotomos, Karan Singla, Torrey A. Creed, David C. Atkins, Shrikanth Narayanan
An automated quality evaluation framework of psychotherapy conversations with local quality estimates. Comput. Speech Lang. 75 (2022)
Tiantian Feng, Rajat Hebbar, Nicholas Mehlman, Xuan Shi, Aditya Kommineni, Shrikanth Narayanan
A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness. CoRR (2022)
Georgios Chochlakis, Tejas Srinivasan, Jesse Thomason, Shrikanth Narayanan
VAuLT: Augmenting the Vision-and-Language Transformer with the Propagation of Deep Language Representations. CoRR (2022)
Kleanthis Avramidis, Mohammad Rostami, Melinda Chang, Shrikanth Narayanan
Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning. CoRR (2022)
Georgios Chochlakis, Gireesh Mahajan, Sabyasachee Baruah, Keith Burghardt, Kristina Lerman, Shrikanth Narayanan
Using Emotion Embeddings to Transfer Knowledge Between Emotions, Languages, and Annotation Formats. CoRR (2022)
Kleanthis Avramidis, Shanti Stewart, Shrikanth Narayanan
On the Role of Visual Context in Enriching Music Representations. CoRR (2022)
Anil Ramakrishna, Rahul Gupta, Shrikanth Narayanan
Joint Multi-Dimensional Model for Global and Time-Series Annotations. IEEE Trans. Affect. Comput. 13 (1) (2022)
Zane Durante, Victor Ardulov, Manoj Kumar, Jennifer Gongola, Thomas D. Lyon, Shrikanth Narayanan
Causal indicators for assessing the truthfulness of child speech in forensic interviews. Comput. Speech Lang. 71 (2022)
Rahul Sharma, Shrikanth Narayanan
Unsupervised active speaker detection in media content using cross-modal information. CoRR (2022)
Rahul Sharma, Shrikanth Narayanan
Using Active Speaker Faces for Diarization in TV shows. CoRR (2022)
Zhuohao Chen, Nikolaos Flemotomos, Zac E. Imel, David C. Atkins, Shrikanth Narayanan
Leveraging Open Data and Task Augmentation to Automated Behavioral Coding of Psychotherapy Conversations in Low-Resource Scenarios. EMNLP (Findings) (2022)
Tiantian Feng, Shrikanth Narayanan
Exploring Workplace Behaviors through Speaking Patterns using Large-scale Multimodal Wearable Recordings: A Study of Healthcare Providers. CoRR (2022)
Xuan Shi, Erica Cooper, Xin Wang, Junichi Yamagishi, Shrikanth Narayanan
Can Knowledge of End-to-End Text-to-Speech Models Improve Neural MIDI-to-Audio Synthesis Systems? CoRR (2022)
Georgios Chochlakis, Gireesh Mahajan, Sabyasachee Baruah, Keith Burghardt, Kristina Lerman, Shrikanth Narayanan
Leveraging Label Correlations in a Multi-label Setting: A Case Study in Emotion. CoRR (2022)
Rahul Sharma, Shrikanth Narayanan
Audio visual character profiles for detecting background characters in entertainment media. CoRR (2022)
Rimita Lahiri, Md. Nasir, Catherine Lord, So Hyun Kim, Shrikanth Narayanan
A Context-Aware Computational Approach for Measuring Vocal Entrainment in Dyadic Conversations. CoRR (2022)
Victor Ardulov, Torrey A. Creed, David C. Atkins, Shrikanth Narayanan
Local dynamic mode of Cognitive Behavioral Therapy. CoRR (2022)
Björn W. Schuller, Yonina C. Eldar, Maja Pantic, Shrikanth Narayanan, Tuomas Virtanen, Jianhua Tao
Editorial: Intelligent Signal Analysis for Contagious Virus Diseases. IEEE J. Sel. Top. Signal Process. 16 (2) (2022)
Tiantian Feng, Raghuveer Peri, Shrikanth Narayanan
User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition on Federated Learning. INTERSPEECH (2022)
James Gibson, David C. Atkins, Torrey A. Creed, Zac E. Imel, Panayiotis G. Georgiou, Shrikanth Narayanan
Multi-Label Multi-Task Deep Learning for Behavioral Coding. IEEE Trans. Affect. Comput. 13 (1) (2022)
Nicholas Mehlman, Anirudh Sreeram, Raghuveer Peri, Shrikanth Narayanan
Mel Frequency Spectral Domain Defenses against Adversarial Attacks on Speech Recognition Systems. CoRR (2022)
Md. Nasir, Brian R. Baucom, Craig J. Bryan, Shrikanth Narayanan, Panayiotis G. Georgiou
Modeling Vocal Entrainment in Conversational Speech Using Deep Unsupervised Learning. IEEE Trans. Affect. Comput. 13 (3) (2022)
Krishna Somandepalli, Shrikanth Narayanan
Generalized Multiview Shared Subspace Learning Using View Bootstrapping. IEEE Trans. Signal Process. 69 (2021)
Arindam Jati, Amrutha Nadarajan, Raghuveer Peri, Karel Mundnich, Tiantian Feng, Benjamin Girault, Shrikanth Narayanan
Temporal Dynamics of Workplace Acoustic Scenes: Egocentric Analysis and Prediction. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Zhuohao Chen, Nikolaos Flemotomos, Karan Singla, Torrey A. Creed, David C. Atkins, Shrikanth Narayanan
An Automated Quality Evaluation Framework of Psychotherapy Conversations with Local Quality Estimates. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shrikanth Narayanan