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ORCIDShri Narayanan
Shrikanth Narayanan – Shrikanth S. Narayanan – Shrikanth Shri Narayanan
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- affiliation: University of Southern California, Signal Analysis and Interpretation Lab, Los Angeles, USA
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2020 – today
- 2023
[j156]Raghuveer Peri
, Krishna Somandepalli, Shrikanth Narayanan:
A study of bias mitigation strategies for speaker recognition. Comput. Speech Lang. 79: 101481 (2023)- [j155]Chi-Chun Lee, Theodora Chaspari, Emily Mower Provost, Shrikanth S. Narayanan:
An Engineering View on Emotions and Speech: From Analysis and Predictive Models to Responsible Human-Centered Applications. Proc. IEEE 111(10): 1142-1158 (2023) - [c661]Sabyasachee Baruah, Shrikanth Narayanan:
Character Coreference Resolution in Movie Screenplays. ACL (Findings) 2023: 10300-10313 - [c660]Nikolaos Antoniou, Athanasios Katsamanis, Theodoros Giannakopoulos, Shrikanth Narayanan:
Designing and Evaluating Speech Emotion Recognition Systems: A Reality Check Case Study with IEMOCAP. ICASSP 2023: 1-5 - [c659]Victor Ardulov, Shrikanth Narayanan:
Navigating and Reaching Therapeutic Goals with Dynamical Systems in Conversation-Based Interventions. ICASSP 2023: 1-5 - [c658]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: 1-2 - [c657]Kleanthis Avramidis, Tiantian Feng, Digbalay Bose, Shrikanth Narayanan:
Multimodal Estimation Of Change Points Of Physiological Arousal During Driving. ICASSP Workshops 2023: 1-5 - [c656]Kleanthis Avramidis, Shanti Stewart, Shrikanth Narayanan:
On the Role of Visual Context in Enriching Music Representations. ICASSP 2023: 1-5 - [c655]Digbalay Bose, Rajat Hebbar, Krishna Somandepalli, Shrikanth Narayanan:
Contextually-Rich Human Affect Perception Using Multimodal Scene Information. ICASSP 2023: 1-5 - [c654]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: 1-5 - [c653]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: 1-5 - [c652]Rajat Hebbar, Digbalay Bose, Krishna Somandepalli, Veena Vijai, Shrikanth Narayanan:
A Dataset for Audio-Visual Sound Event Detection in Movies. ICASSP 2023: 1-5 - [c651]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: 1-5 - [c650]Ravi Pranjal, Ranjana Seshadri, Rakesh Kumar Sanath Kumar Kadaba, Tiantian Feng, Shrikanth S. Narayanan, Theodora Chaspari:
Toward Privacy-Enhancing Ambulatory-Based Well-Being Monitoring: Investigating User Re-Identification Risk in Multimodal Data. ICASSP 2023: 1-5 - [c649]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: 1-5 - [c648]Tuo Zhang, Tiantian Feng, Samiul Alam, Sunwoo Lee, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr:
FedAudio: A Federated Learning Benchmark for Audio Tasks. ICASSP 2023: 1-5 - [c647]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: 4035-4045 - [c646]Digbalay Bose, Rajat Hebbar, Tiantian Feng, Krishna Somandepalli, Anfeng Xu, Shrikanth Narayanan:
MM-AU: Towards Multimodal Understanding of Advertisement Videos. ACM Multimedia 2023: 86-95 - [c645]Rajat Hebbar, Digbalay Bose, Shrikanth Narayanan:
SEAR: Semantically-grounded Audio Representations. ACM Multimedia 2023: 2785-2794 - [c644]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: 2082-2091 - [i117]Rajat Hebbar, Digbalay Bose, Krishna Somandepalli, Veena Vijai, Shrikanth Narayanan:
A dataset for Audio-Visual Sound Event Detection in Movies. CoRR abs/2302.07315 (2023) - [i116]Digbalay Bose, Rajat Hebbar, Krishna Somandepalli, Shrikanth Narayanan:
Contextually-rich human affect perception using multimodal scene information. CoRR abs/2303.06904 (2023) - [i115]Nikolaos Antoniou, Athanasios Katsamanis, Theodoros Giannakopoulos, Shrikanth Narayanan:
Designing and Evaluating Speech Emotion Recognition Systems: A reality check case study with IEMOCAP. CoRR abs/2304.00860 (2023) - [i114]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 abs/2304.08614 (2023) - [i113]Tiantian Feng, Rajat Hebbar, Shrikanth Narayanan:
TrustSER: On the Trustworthiness of Fine-tuning Pre-trained Speech Embeddings For Speech Emotion Recognition. CoRR abs/2305.11229 (2023) - [i112]Keith Burghardt, Ashwin Rao, Siyi Guo, Zihao He, Georgios Chochlakis, Sabyasachee Baruah, Andrew Rojecki, Shri Narayanan, Kristina Lerman:
Socio-Linguistic Characteristics of Coordinated Inauthentic Accounts. CoRR abs/2305.11867 (2023) - [i111]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 abs/2305.14117 (2023) - [i110]Tuo Zhang, Tiantian Feng, Samiul Alam, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr:
GPT-FL: Generative Pre-trained Model-Assisted Federated Learning. CoRR abs/2306.02210 (2023) - [i109]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 abs/2306.05350 (2023) - [i108]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 abs/2306.07791 (2023) - [i107]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 abs/2306.09486 (2023) - [i106]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 abs/2307.04445 (2023) - [i105]Shanti Stewart, Tiantian Feng, Kleanthis Avramidis, Shrikanth Narayanan:
Emotion-Aligned Contrastive Learning Between Images and Music. CoRR abs/2308.12610 (2023) - [i104]Digbalay Bose, Rajat Hebbar, Tiantian Feng, Krishna Somandepalli, Anfeng Xu, Shrikanth Narayanan:
MM-AU: Towards Multimodal Understanding of Advertisement Videos. CoRR abs/2308.14052 (2023) - [i103]Tiantian Feng, Shrikanth Narayanan:
Foundation Model Assisted Automatic Speech Emotion Recognition: Transcribing, Annotating, and Augmenting. CoRR abs/2309.08108 (2023) - [i102]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 abs/2309.09405 (2023) - [i101]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 abs/2309.15292 (2023) - [i100]Samiul Alam, Tuo Zhang, Tiantian Feng, Hui Shen, Zhichao Cao, Dong Zhao, JeongGil Ko, Kiran Somasundaram, Shrikanth S. Narayanan, Salman Avestimehr, Mi Zhang:
FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things. CoRR abs/2310.00109 (2023) - [i99]Anfeng Xu, Kevin Huang, Tiantian Feng, Helen Tager-Flusberg, Shrikanth Narayanan:
Audio-visual child-adult speaker classification in dyadic interactions. CoRR abs/2310.01867 (2023) - [i98]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 abs/2311.03551 (2023) - 2022
- [j154]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: 101263 (2022) - [j153]Prashanth Gurunath Shivakumar, Shrikanth Narayanan:
End-to-end neural systems for automatic children speech recognition: An empirical study. Comput. Speech Lang. 72: 101289 (2022) - [j152]Tae Jin Park, Naoyuki Kanda, Dimitrios Dimitriadis, Kyu Jeong Han, Shinji Watanabe, Shrikanth Narayanan:
A review of speaker diarization: Recent advances with deep learning. Comput. Speech Lang. 72: 101317 (2022) - [j151]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: 101380 (2022) - [j150]Gábor Mihály Tóth, Tim Hempel, Krishna Somandepalli, Shri Narayanan:
Studying Large-Scale Behavioral Differences in Auschwitz-Birkenau with Simulation of Gendered Narratives. Digit. Humanit. Q. 16(3) (2022) - [j149]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): 159-163 (2022) - [j148]Anil Ramakrishna, Rahul Gupta, Shrikanth Narayanan:
Joint Multi-Dimensional Model for Global and Time-Series Annotations. IEEE Trans. Affect. Comput. 13(1): 473-484 (2022) - [j147]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): 508-518 (2022) - [j146]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): 1651-1663 (2022) - [j145]Krishna Somandepalli, Rajat Hebbar, Shrikanth Narayanan:
Robust Character Labeling in Movie Videos: Data Resources and Self-Supervised Feature Adaptation. IEEE Trans. Multim. 24: 3355-3368 (2022) - [c643]Aggelina Chatziagapi, Dimitris Sgouropoulos, Constantinos Karouzos, Thomas Melistas, Theodoros Giannakopoulos, Athanasios Katsamanis, Shrikanth Narayanan:
Audio and ASR-based Filled Pause Detection. ACII 2022: 1-7 - [c642]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: 5787-5795 - [c641]Tiantian Feng, Hanieh Hashemi, Murali Annavaram, Shrikanth S. Narayanan:
Enhancing Privacy Through Domain Adaptive Noise Injection For Speech Emotion Recognition. ICASSP 2022: 7702-7706 - [c640]Kleanthis Avramidis, Mohammad Rostami, Melinda Chang, Shrikanth Narayanan:
Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning. ICIP 2022: 3973-3977 - [c639]Tiantian Feng, Shrikanth Narayanan:
Semi-FedSER: Semi-supervised Learning for Speech Emotion Recognition On Federated Learning using Multiview Pseudo-Labeling. INTERSPEECH 2022: 5050-5054 - [c638]Tiantian Feng, Raghuveer Peri, Shrikanth Narayanan:
User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition on Federated Learning. INTERSPEECH 2022: 5055-5059 - [c637]Nikolaos Flemotomos, Shrikanth Narayanan:
Multimodal Clustering with Role Induced Constraints for Speaker Diarization. INTERSPEECH 2022: 5075-5079 - [i97]Tiantian Feng, Shrikanth Narayanan:
Semi-FedSER: Semi-supervised Learning for Speech Emotion Recognition On Federated Learning using Multiview Pseudo-Labeling. CoRR abs/2203.08810 (2022) - [i96]Rahul Sharma, Shrikanth Narayanan:
Audio visual character profiles for detecting background characters in entertainment media. CoRR abs/2203.11368 (2022) - [i95]Nicholas Mehlman, Anirudh Sreeram, Raghuveer Peri, Shrikanth Narayanan:
Mel Frequency Spectral Domain Defenses against Adversarial Attacks on Speech Recognition Systems. CoRR abs/2203.15283 (2022) - [i94]Rahul Sharma, Shrikanth Narayanan:
Using Active Speaker Faces for Diarization in TV shows. CoRR abs/2203.15961 (2022) - [i93]Nikolaos Flemotomos, Shrikanth Narayanan:
Multimodal Clustering with Role Induced Constraints for Speaker Diarization. CoRR abs/2204.00657 (2022) - [i92]Tiantian Feng, Raghuveer Peri, Shrikanth Narayanan:
User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition in Federated Learning. CoRR abs/2204.02500 (2022) - [i91]Victor Ardulov, Torrey A. Creed, David C. Atkins, Shrikanth Narayanan:
Local dynamic mode of Cognitive Behavioral Therapy. CoRR abs/2205.09752 (2022) - [i90]Kleanthis Avramidis, Mohammad Rostami, Melinda Chang, Shrikanth Narayanan:
Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning. CoRR abs/2207.04565 (2022) - [i89]Georgios Chochlakis, Tejas Srinivasan, Jesse Thomason, Shrikanth Narayanan:
VAuLT: Augmenting the Vision-and-Language Transformer with the Propagation of Deep Language Representations. CoRR abs/2208.09021 (2022) - [i88]Rahul Sharma, Shrikanth Narayanan:
Unsupervised active speaker detection in media content using cross-modal information. CoRR abs/2209.11896 (2022) - [i87]Digbalay Bose, Rajat Hebbar, Krishna Somandepalli, Haoyang Zhang, Yin Cui, Kree Cole-McLaughlin, Huisheng Wang, Shrikanth Narayanan:
MovieCLIP: Visual Scene Recognition in Movies. CoRR abs/2210.11065 (2022) - [i86]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 abs/2210.14254 (2022) - [i85]Tuo Zhang, Tiantian Feng, Samiul Alam, Sunwoo Lee, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr:
FedAudio: A Federated Learning Benchmark for Audio Tasks. CoRR abs/2210.15707 (2022) - [i84]Kleanthis Avramidis, Tiantian Feng, Digbalay Bose, Shrikanth Narayanan:
Multimodal Estimation of Change Points of Physiological Arousal in Drivers. CoRR abs/2210.15826 (2022) - [i83]Kleanthis Avramidis, Shanti Stewart, Shrikanth Narayanan:
On the Role of Visual Context in Enriching Music Representations. CoRR abs/2210.15828 (2022) - [i82]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 abs/2210.15842 (2022) - [i81]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 abs/2211.00171 (2022) - [i80]Rimita Lahiri, Md. Nasir, Catherine Lord, So Hyun Kim, Shrikanth Narayanan:
A Context-Aware Computational Approach for Measuring Vocal Entrainment in Dyadic Conversations. CoRR abs/2211.03279 (2022) - [i79]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 abs/2211.13868 (2022) - [i78]Rahul Sharma, Shrikanth Narayanan:
Audio-Visual Activity Guided Cross-Modal Identity Association for Active Speaker Detection. CoRR abs/2212.00539 (2022) - [i77]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 abs/2212.09006 (2022) - [i76]Tiantian Feng, Shrikanth Narayanan:
Exploring Workplace Behaviors through Speaking Patterns using Large-scale Multimodal Wearable Recordings: A Study of Healthcare Providers. CoRR abs/2212.09090 (2022) - 2021
- [j144]Sandeep Nallan Chakravarthula, Brian R. W. Baucom, Shrikanth Narayanan, Panayiotis G. Georgiou:
An analysis of observation length requirements for machine understanding of human behaviors from spoken language. Comput. Speech Lang. 66: 101162 (2021) - [j143]Arindam Jati, Chin-Cheng Hsu, Monisankha Pal, Raghuveer Peri, Wael AbdAlmageed, Shrikanth Narayanan:
Adversarial attack and defense strategies for deep speaker recognition systems. Comput. Speech Lang. 68: 101199 (2021) - [j142]Haoqi Li, Brian R. Baucom, Shrikanth Narayanan, Panayiotis G. Georgiou:
Unsupervised speech representation learning for behavior modeling using triplet enhanced contextualized networks. Comput. Speech Lang. 70: 101226 (2021) - [j141]Rajat Hebbar, Pavlos Papadopoulos, Ramon Reyes, Alexander F. Danvers, Angelina J. Polsinelli, Suzanne A. Moseley, David A. Sbarra, Matthias R. Mehl, Shrikanth Narayanan:
Deep multiple instance learning for foreground speech localization in ambient audio from wearable devices. EURASIP J. Audio Speech Music. Process. 2021(1): 1-8 (2021) - [j140]Krishna Somandepalli, Tanaya Guha, Victor R. Martinez, Naveen Kumar, Hartwig Adam, Shrikanth Narayanan:
Computational Media Intelligence: Human-Centered Machine Analysis of Media. Proc. IEEE 109(5): 891-910 (2021) - [j139]Colin Vaz, Shrikanth Narayanan:
Extending the Beta divergence to complex values. Pattern Recognit. Lett. 144: 105-111 (2021) - [j138]Shao-Yen Tseng, Shrikanth Narayanan, Panayiotis G. Georgiou:
Multimodal Embeddings From Language Models for Emotion Recognition in the Wild. IEEE Signal Process. Lett. 28: 608-612 (2021) - [j137]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: 756-769 (2021) - [j136]Monisankha Pal, Manoj Kumar, Raghuveer Peri, Tae Jin Park, So Hyun Kim, Catherine Lord, Somer Bishop, Shrikanth Narayanan:
Meta-Learning With Latent Space Clustering in Generative Adversarial Network for Speaker Diarization. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1204-1219 (2021) - [j135]Mari Ganesh Kumar, Shrikanth Narayanan, Mriganka Sur, Hema A. Murthy:
Evidence of Task-Independent Person-Specific Signatures in EEG Using Subspace Techniques. IEEE Trans. Inf. Forensics Secur. 16: 2856-2871 (2021) - [j134]Krishna Somandepalli, Shrikanth Narayanan:
Generalized Multiview Shared Subspace Learning Using View Bootstrapping. IEEE Trans. Signal Process. 69: 4774-4786 (2021) - [c636]Tiantian Feng, Shrikanth Narayanan:
Privacy and Utility Preserving Data Transformation for Speech Emotion Recognition. ACII 2021: 1-7 - [c635]Shen Yan, Hsien-Te Kao, Kristina Lerman, Shrikanth Narayanan, Emilio Ferrara:
Mitigating the Bias of Heterogeneous Human Behavior in Affective Computing. ACII 2021: 1-8 - [c634]Sabyasachee Baruah, Sandeep Nallan Chakravarthula, Shrikanth Narayanan:
Annotation and Evaluation of Coreference Resolution in Screenplays. ACL/IJCNLP (Findings) 2021: 2004-2010 - [c633]Rajat Hebbar, Krishna Somandepalli, Raghuveer Peri, Ruchir Travadi, Tracy Tuplin, Fernando Rivera, Shrikanth Narayanan:
A Computational Tool to Study Vocal Participation of Women in UN-ITU Meetings. CBMI 2021: 1-4 - [c632]Dillon Knox, Timothy Greer, Benjamin Ma, Emily Kuo, Krishna Somandepalli, Shrikanth Narayanan:
Loss Function Approaches for Multi-label Music Tagging. CBMI 2021: 1-4 - [c631]Zhuohao Chen, Nikolaos Flemotomos, Victor Ardulov, Torrey A. Creed, Zac E. Imel, David C. Atkins, Shrikanth Narayanan:
Feature Fusion Strategies for End-to-End Evaluation of Cognitive Behavior Therapy Sessions. EMBC 2021: 1836-1839 - [c630]Monisankha Pal, Arindam Jati, Raghuveer Peri, Chin-Cheng Hsu, Wael AbdAlmageed, Shrikanth Narayanan:
Adversarial Defense for Deep Speaker Recognition Using Hybrid Adversarial Training. ICASSP 2021: 6164-6168 - [c629]Tae Jin Park, Manoj Kumar, Shrikanth Narayanan:
Multi-Scale Speaker Diarization with Neural Affinity Score Fusion. ICASSP 2021: 7173-7177 - [c628]Amr Gaballah, Abhishek Tiwari, Shrikanth Narayanan, Tiago H. Falk:
Context-Aware Speech Stress Detection in Hospital Workers Using Bi-LSTM Classifiers. ICASSP 2021: 8348-8352 - [c627]Young-Kyung Kim, Rimita Lahiri, Md. Nasir, So Hyun Kim, Somer Bishop, Catherine Lord, Shrikanth S. Narayanan:
Analyzing Short Term Dynamic Speech Features for Understanding Behavioral Traits of Children with Autism Spectrum Disorder. Interspeech 2021: 2916-2920 - [c626]Haoqi Li, Yelin Kim, Cheng-Hao Kuo, Shrikanth S. Narayanan:
Acted vs. Improvised: Domain Adaptation for Elicitation Approaches in Audio-Visual Emotion Recognition. Interspeech 2021: 3395-3399 - [c625]Miran Oh, Dani Byrd, Shrikanth S. Narayanan:
Leveraging Real-Time MRI for Illuminating Linguistic Velum Action. Interspeech 2021: 3964-3968 - [c624]Keith Burghardt, Nazgol Tavabi, Emilio Ferrara, Shrikanth Narayanan, Kristina Lerman:
Having a Bad Day? Detecting the Impact of Atypical Events Using Wearable Sensors. SBP-BRiMS 2021: 257-267 - [c623]Suchitra Krishnamachari, Manoj Kumar, So Hyun Kim, Catherine Lord, Shrikanth Narayanan:
Developing Neural Representations for Robust Child-Adult Diarization. SLT 2021: 590-597 - [c622]Prashanth Gurunath Shivakumar, Naveen Kumar, Panayiotis G. Georgiou, Shrikanth Narayanan:
RNN Based Incremental Online Spoken Language Understanding. SLT 2021: 989-996 - [i75]Tae Jin Park, Naoyuki Kanda, Dimitrios Dimitriadis, Kyu Jeong Han, Shinji Watanabe, Shrikanth Narayanan:
A Review of Speaker Diarization: Recent Advances with Deep Learning. CoRR abs/2101.09624 (2021) - [i74]Prashanth Gurunath Shivakumar, Panayiotis G. Georgiou, Shrikanth Narayanan:
Confusion2vec 2.0: Enriching Ambiguous Spoken Language Representations with Subwords. CoRR abs/2102.02270 (2021) - [i73]Yongwan Lim, Shrikanth S. Narayanan, Krishna S. Nayak:
Attention-gated convolutional neural networks for off-resonance correction of spiral real-time MRI. CoRR abs/2102.07271 (2021) - [i72]