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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
[j154]Raghuveer Peri
, Krishna Somandepalli, Shrikanth Narayanan:
A study of bias mitigation strategies for speaker recognition. Comput. Speech Lang. 79: 101481 (2023)- [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 - [i104]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) - [i103]Digbalay Bose, Rajat Hebbar, Krishna Somandepalli, Shrikanth Narayanan:
Contextually-rich human affect perception using multimodal scene information. CoRR abs/2303.06904 (2023) - [i102]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) - [i101]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) - [i100]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) - [i99]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) - [i98]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) - 2022
- [j153]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) - [j152]Prashanth Gurunath Shivakumar, Shrikanth Narayanan:
End-to-end neural systems for automatic children speech recognition: An empirical study. Comput. Speech Lang. 72: 101289 (2022) - [j151]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: 101317 (2022) - [j150]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) - [j149]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) - [j148]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) - [j147]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) - [j146]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) - [j145]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) - [j144]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
- [j143]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) - [j142]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) - [j141]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) - [j140]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) - [j139]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) - [j138]Colin Vaz, Shrikanth Narayanan:
Extending the Beta divergence to complex values. Pattern Recognit. Lett. 144: 105-111 (2021) - [j137]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) - [j136]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) - [j135]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) - [j134]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) - [j133]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 J. 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]Yongwan Lim, Asterios Toutios, Yannick Bliesener, Ye Tian, Sajan Goud Lingala, Colin Vaz, Tanner Sorensen, Miran Oh, Sarah Harper, Weiyi Chen, Yoon-Jeong Lee, Johannes Töger, Mairym Lloréns Monteserín, Caitlin Smith, Bianca Godinez, Louis Goldstein, Dani Byrd, Krishna S. Nayak, Shrikanth S. Narayanan:
A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images. CoRR abs/2102.07896 (2021) - [i71]Prashanth Gurunath Shivakumar, Shrikanth Narayanan:
End-to-End Neural Systems for Automatic Children Speech Recognition: An Empirical Study. CoRR abs/2102.09918 (2021) - [i70]Nikolaos Flemotomos, Victor R. Martinez, Zhuohao Chen, Karan Singla, Victor Ardulov, Raghuveer Peri, Derek D. Caperton, James Gibson, Michael J. Tanana, Panayiotis G. Georgiou, Jake Van Epps, Sarah P. Lord, Tad Hirsch, Zac E. Imel, David C. Atkins, Shrikanth Narayanan:
"Am I A Good Therapist?" Automated Evaluation Of Psychotherapy Skills Using Speech And Language Technologies. CoRR abs/2102.11265 (2021) - [i69]Nikolaos Flemotomos, Victor R. Martinez, Zhuohao Chen, Torrey A. Creed, David C. Atkins, Shrikanth Narayanan:
Automated Quality Assessment of Cognitive Behavioral Therapy Sessions Through Highly Contextualized Language Representations. CoRR abs/2102.11573 (2021) - [i68]Nauman Dawalatabad, Jilt Sebastian, Jom Kuriakose, C. Chandra Sekhar, Shrikanth Narayanan, Hema A. Murthy:
Front-end Diarization for Percussion Separation in Taniavartanam of Carnatic Music Concerts. CoRR abs/2103.03215 (2021) - [i67]Haoqi Li, Yelin Kim, Cheng-Hao Kuo, Shrikanth Narayanan:
Acted vs. Improvised: Domain Adaptation for Elicitation Approaches in Audio-Visual Emotion Recognition. CoRR abs/2104.01978 (2021) - [i66]Haoqi Li, Brian R. Baucom, Shrikanth Narayanan, Panayiotis G. Georgiou:
Unsupervised Speech Representation Learning for Behavior Modeling using Triplet Enhanced Contextualized Networks. CoRR abs/2104.03899 (2021) - [i65]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 abs/2106.07922 (2021) - [i64]Anirudh Sreeram, Nicholas Mehlman, Raghuveer Peri, Dillon Knox, Shrikanth Narayanan:
Perceptual-based deep-learning denoiser as a defense against adversarial attacks on ASR systems. CoRR abs/2107.05222 (2021) - [i63]Prashanth Gurunath Shivakumar, Somer Bishop, Catherine Lord, Shrikanth Narayanan:
Phone Duration Modeling for Speaker Age Estimation in Children. CoRR abs/2109.01568 (2021) - [i62]Sabyasachee Baruah, Krishna Somandepalli, Shrikanth Narayanan:
Representation of professions in entertainment media: Insights into frequency and sentiment trends through computational text analysis. CoRR abs/2110.03873 (2021) - [i61]Justin Olah, Sabyasachee Baruah, Digbalay Bose, Shrikanth Narayanan:
Cross Domain Emotion Recognition using Few Shot Knowledge Transfer. CoRR abs/2110.05021 (2021) - [i60]Digbalay Bose, Krishna Somandepalli, Souvik Kundu, Rimita Lahiri, Jonathan Gratch, Shrikanth Narayanan:
Understanding of Emotion Perception from Art. CoRR abs/2110.06486 (2021) - [i59]Tiantian Feng, Hanieh Hashemi, Rajat Hebbar, Murali Annavaram, Shrikanth S. Narayanan:
Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings. CoRR abs/2112.13416 (2021) - 2020
- [j132]Rini A. Sharon, Shrikanth S. Narayanan, Mriganka Sur, Hema A. Murthy:
Neural Speech Decoding During Audition, Imagination and Production. IEEE Access 8: 149714-149729 (2020) - [j131]Manoj Kumar, So Hyun Kim, Catherine Lord, Thomas D. Lyon, Shrikanth Narayanan:
Leveraging Linguistic Context in Dyadic Interactions to Improve Automatic Speech Recognition for Children. Comput. Speech Lang. 63: 101101 (2020) - [j130]Jangwon Kim, Asterios Toutios, Sungbok Lee, Shrikanth S. Narayanan:
Vocal tract shaping of emotional speech. Comput. Speech Lang. 64: 101100 (2020) - [j129]Vinesh Ravuri, Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon M. Booth, Shrikanth S. Narayanan, Theodora Chaspari:
Investigating Group-Specific Models of Hospital Workers' Well-Being: Implications for Algorithmic Bias. Int. J. Semantic Comput. 14(4): 477-499 (2020) - [j128]Hsien-Te Kao, Shen Yan, Homa Hosseinmardi, Shrikanth Narayanan, Kristina Lerman, Emilio Ferrara:
User-Based Collaborative Filtering Mobile Health System. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(4): 165:1-165:17 (2020) - [j127]Shen Yan, Homa Hosseinmardi, Hsien-Te Kao, Shrikanth Narayanan, Kristina Lerman, Emilio Ferrara:
Affect Estimation with Wearable Sensors. J. Heal. Informatics Res. 4(3): 261-294 (2020) - [j126]Tae Jin Park, Kyu J. Han, Manoj Kumar, Shrikanth Narayanan:
Auto-Tuning Spectral Clustering for Speaker Diarization Using Normalized Maximum Eigengap. IEEE Signal Process. Lett. 27: 381-385 (2020) - [c621]Ming-Chang Chiu, Tiantian Feng, Xiang Ren, Shrikanth Narayanan:
Screenplay Quality Assessment: Can We Predict Who Gets Nominated? NUSE@ACL 2020: 11-16 - [c620]Karan Singla, Zhuohao Chen, David C. Atkins, Shrikanth Narayanan:
Towards end-2-end learning for predicting behavior codes from spoken utterances in psychotherapy conversations. ACL 2020: 3797-3803 - [c619]George Hadjiantonis, Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon M. Booth, Shrikanth Narayanan, Theodora Chaspari:
Dynamical systems modeling of day-to-day signal-based patterns of emotional self-regulation and stress spillover in highly-demanding health professions. EMBC 2020: 284-287 - [c618]Tiantian Feng, Shrikanth Narayanan:
Modeling Human Movement Behavior Among Nursing Profession. EMBC 2020: 4256-4260 - [c617]Victor R. Martinez, Krishna Somandepalli, Yalda T. Uhls, Shrikanth Narayanan:
Joint Estimation and Analysis of Risk Behavior Ratings in Movie Scripts. EMNLP (1) 2020: 4780-4790 - [c616]Timothy Greer, Karel Mundnich, Matthew E. Sachs, Shrikanth Narayanan:
The Role of Annotation Fusion Methods in the Study of Human-Reported Emotion Experience During Music Listening. ICASSP 2020: 776-780 - [c615]Tiantian Feng, Shrikanth S. Narayanan:
Modeling Behavioral Consistency in Large-Scale Wearable Recordings of Human Bio-Behavioral Signals. ICASSP 2020: 1011-1015 - [c614]Tiantian Feng, Brandon M. Booth, Shrikanth S. Narayanan:
Modeling Behavior as Mutual Dependency between Physiological Signals and Indoor Location in Large-Scale Wearable Sensor Study. ICASSP 2020: 1016-1020 - [c613]Jiaxi Wang, Karel Mundnich, Allison T. Knoll, Pat Levitt, Shrikanth Narayanan:
Bringing in the Outliers: A Sparse Subspace Clustering Approach to Learn a Dictionary of Mouse Ultrasonic Vocalizations. ICASSP 2020: 3432-3436 - [c612]Brandon M. Booth, Shrikanth S. Narayanan:
Trapezoidal Segment Sequencing: A Novel Approach for Fusion of Human-Produced Continuous Annotations. ICASSP 2020: 4512-4516 - [c611]Monisankha Pal, Manoj Kumar, Raghuveer Peri, Tae Jin Park, So Hyun Kim, Catherine Lord, Somer Bishop, Shrikanth Narayanan:
Speaker Diarization Using Latent Space Clustering in Generative Adversarial Network. ICASSP 2020: 6504-6508 - [c610]Sandeep Nallan Chakravarthula, Md. Nasir, Shao-Yen Tseng, Haoqi Li, Tae Jin Park, Brian R. Baucom, Craig J. Bryan, Shrikanth Narayanan, Panayiotis G. Georgiou:
Automatic Prediction of Suicidal Risk in Military Couples Using Multimodal Interaction Cues from Couples Conversations. ICASSP 2020: 6539-6543 - [c609]Raghuveer Peri, Monisankha Pal, Arindam Jati, Krishna Somandepalli, Shrikanth Narayanan:
Robust Speaker Recognition Using Unsupervised Adversarial Invariance. ICASSP 2020: 6614-6618 - [c608]Rimita Lahiri, Manoj Kumar, Somer Bishop, Shrikanth Narayanan:
Learning Domain Invariant Representations for Child-Adult Classification from Speech. ICASSP 2020: 6749-6753 - [c607]Haoqi Li, Ming Tu, Jing Huang, Shrikanth Narayanan, Panayiotis G. Georgiou:
Speaker-Invariant Affective Representation Learning via Adversarial Training. ICASSP 2020: 7144-7148 - [c606]S. Ashwin Hebbar, Rahul Sharma, Krishna Somandepalli, Asterios Toutios, Shrikanth Narayanan:
Vocal Tract Articulatory Contour Detection in Real-Time Magnetic Resonance Images Using Spatio-Temporal Context. ICASSP 2020: 7354-7358 - [c605]Victor Ardulov, Zane Durante, Shanna Williams, Thomas D. Lyon, Shrikanth Narayanan:
Identifying Truthful Language in Child Interviews. ICASSP 2020: 8074-8078 - [c604]Nithin Rao Koluguri, Manoj Kumar, So Hyun Kim, Catherine Lord, Shrikanth Narayanan:
Meta-Learning for Robust Child-Adult Classification from Speech. ICASSP 2020: 8094-8098 - [c603]