Shrikanth S. Narayanan

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 245

Top Venues

Publications

Alice Baird, Rachel Manzelli, Panagiotis Tzirakis, Chris Gagne, Haoqi Li, Sadie Allen, Sander Dieleman, Brian Kulis, Shrikanth S. Narayanan, Alan Cowen
The NeurIPS 2023 Machine Learning for Audio Workshop: Affective Audio Benchmarks and Novel Data. CoRR (2024)
Tuo Zhang, Tiantian Feng, Yibin Ni, Mengqin Cao, Ruying Liu, Katharine Butler, Yanjun Weng, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr
Creating a Lens of Chinese Culture: A Multimodal Dataset for Chinese Pun Rebus Art Understanding. CoRR (2024)
Tiantian Feng, Xuan Shi, Rahul Gupta, Shrikanth S. Narayanan
TI-ASU: Toward Robust Automatic Speech Understanding through Text-to-speech Imputation Against Missing Speech Modality. CoRR (2024)
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)
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 (2023)
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) (2023)
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)
Tuo Zhang, Tiantian Feng, Samiul Alam, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr
GPT-FL: Generative Pre-trained Model-Assisted Federated Learning. CoRR (2023)
Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon M. Booth, Shrikanth S. Narayanan, Theodora Chaspari
Modeling inter-individual differences in ambulatory-based multimodal signals via metric learning: a case study of personalized well-being estimation of healthcare workers. Frontiers Digit. Health 5 (2023)
Tuo Zhang, Tiantian Feng, Samiul Alam, Sunwoo Lee, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr
FedAudio: A Federated Learning Benchmark for Audio Tasks. CoRR (2022)
Tiantian Feng, Hanieh Hashemi, Murali Annavaram, Shrikanth S. Narayanan
Enhancing Privacy Through Domain Adaptive Noise Injection For Speech Emotion Recognition. ICASSP (2022)
Yongwan Lim, Shrikanth S. Narayanan, Krishna S. Nayak
Attention-gated convolutional neural networks for off-resonance correction of spiral real-time MRI. CoRR (2021)
Miran Oh, Dani Byrd, Shrikanth S. Narayanan
Leveraging Real-Time MRI for Illuminating Linguistic Velum Action. Interspeech (2021)
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)
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 (2021)
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)
Tiantian Feng, Hanieh Hashemi, Rajat Hebbar, Murali Annavaram, Shrikanth S. Narayanan
Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings. CoRR (2021)
Brandon M. Booth, Shrikanth S. Narayanan
Trapezoidal Segment Sequencing: A Novel Approach for Fusion of Human-Produced Continuous Annotations. ICASSP (2020)
Jangwon Kim, Asterios Toutios, Sungbok Lee, Shrikanth S. Narayanan
Vocal tract shaping of emotional speech. Comput. Speech Lang. 64 (2020)
Brandon M. Booth, Shrikanth S. Narayanan
Fifty Shades of Green: Towards a Robust Measure of Inter-annotator Agreement for Continuous Signals. ICMI (2020)
Tiantian Feng, Shrikanth S. Narayanan
Modeling Behavioral Consistency in Large-Scale Wearable Recordings of Human Bio-Behavioral Signals. ICASSP (2020)
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) (2020)
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)
Rini A. Sharon, Shrikanth S. Narayanan, Mriganka Sur, Hema A. Murthy
Neural Speech Decoding During Audition, Imagination and Production. IEEE Access 8 (2020)
Rahul Sharma, Krishna Somandepalli, Shrikanth S. Narayanan
Toward Visual Voice Activity Detection for Unconstrained Videos. ICIP (2019)
Karel Mundnich, Brandon M. Booth, Benjamin Girault, Shrikanth S. Narayanan
Generating Labels for Regression of Subjective Constructs using Triplet Embeddings. CoRR (2019)
Timothy Greer, Karan Singla, Benjamin Ma, Shrikanth S. Narayanan
Learning Shared Vector Representations of Lyrics and Chords in Music. ICASSP (2019)
Amrutha Nadarajan, Krishna Somandepalli, Shrikanth S. Narayanan
Speaker Agnostic Foreground Speech Detection from Audio Recordings in Workplace Settings from Wearable Recorders. ICASSP (2019)
Abhishek Tiwari, Shrikanth S. Narayanan, Tiago H. Falk
Stress and Anxiety Measurement "In-the-Wild" Using Quality-aware Multi-scale HRV Features. EMBC (2019)
Zhuohao Chen, Karan Singla, James Gibson, Dogan Can, Zac E. Imel, David C. Atkins, Panayiotis G. Georgiou, Shrikanth S. Narayanan
Improving the Prediction of Therapist Behaviors in Addiction Counseling by Exploiting Class Confusions. ICASSP (2019)
Victor R. Martinez, Krishna Somandepalli, Karan Singla, Anil Ramakrishna, Yalda T. Uhls, Shrikanth S. Narayanan
Violence Rating Prediction from Movie Scripts. AAAI (2019)
Tiantian Feng, Shrikanth S. Narayanan
Discovering Optimal Variable-length Time Series Motifs in Large-scale Wearable Recordings of Human Bio-behavioral Signals. ICASSP (2019)
Brandon M. Booth, Shrikanth S. Narayanan
Trapezoidal Segmented Regression: A Novel Continuous-scale Real-time Annotation Approximation Algorithm. ACII (2019)
Nikolaos Flemotomos, Panayiotis G. Georgiou, Shrikanth S. Narayanan
Language Aided Speaker Diarization Using Speaker Role Information. CoRR (2019)
Krishna Somandepalli, Naveen Kumar, Ruchir Travadi, Shrikanth S. Narayanan
Multimodal Representation Learning using Deep Multiset Canonical Correlation. CoRR (2019)
Mari Ganesh Kumar, M. S. Saranya, Shrikanth S. Narayanan, Mriganka Sur, Hema A. Murthy
Subspace techniques for task-independent EEG person identification. EMBC (2019)
Ruchir Travadi, Shrikanth S. Narayanan
Total Variability Layer in Deep Neural Network Embeddings for Speaker Verification. IEEE Signal Process. Lett. 26 (6) (2019)
Nikolaos Flemotomos, Panayiotis G. Georgiou, David C. Atkins, Shrikanth S. Narayanan
Role Specific Lattice Rescoring for Speaker Role Recognition from Speech Recognition Outputs. ICASSP (2019)
Nazgol Tavabi, Homa Hosseinmardi, Jennifer L. Villatte, Andrés Abeliuk, Shrikanth S. Narayanan, Emilio Ferrara, Kristina Lerman
Learning Behavioral Representations from Wearable Sensors. CoRR (2019)
Ruchir Travadi, Shrikanth S. Narayanan
Efficient estimation and model generalization for the totalvariability model. Comput. Speech Lang. 53 (2019)
Abhishek Tiwari, Shrikanth S. Narayanan, Tiago H. Falk
Breathing Rate Complexity Features for "In-the-Wild" Stress and Anxiety Measurement. EUSIPCO (2019)
Rimita Lahiri, Manoj Kumar, Somer Bishop, Shrikanth S. Narayanan
Learning Domain Invariant Representations for Child-Adult Classification from Speech. CoRR (2019)
Brandon M. Booth, Tiantian Feng, Abhishek Jangalwa, Shrikanth S. Narayanan
Toward Robust Interpretable Human Movement Pattern Analysis in a Workplace Setting. ICASSP (2019)
Victor R. Martinez, Anil Ramakrishna, Ming-Chang Chiu, Karan Singla, Shrikanth S. Narayanan
A system for the 2019 Sentiment, Emotion and Cognitive State Task of DARPA's LORELEI project. ACII (2019)
Shih-Fu Chang, Alexander G. Hauptmann, Louis-Philippe Morency, Sameer K. Antani, Dick C. A. Bulterman, Carlos Busso, Joyce Yue Chai, Julia Hirschberg, Ramesh C. Jain, Ketan Mayer-Patel, Reuven Meth, Raymond Mooney, Klara Nahrstedt, Shrikanth S. Narayanan, Prem Natarajan, Sharon L. Oviatt, Balakrishnan Prabhakaran, Arnold W. M. Smeulders, Hari Sundaram, Zhengyou Zhang, Michelle X. Zhou
Report of 2017 NSF Workshop on Multimedia Challenges, Opportunities and Research Roadmaps. CoRR (2019)
Sandeep Nallan Chakravarthula, Brian R. Baucom, Shrikanth S. Narayanan, Panayiotis G. Georgiou
An analysis of observation length requirements in spoken language for machine understanding of human behaviors. CoRR (2019)
Karel Mundnich, Brandon M. Booth, Benjamin Girault, Shrikanth S. Narayanan
Generating labels for regression of subjective constructs using triplet embeddings. Pattern Recognit. Lett. 128 (2019)
Monisankha Pal, Manoj Kumar, Raghuveer Peri, Tae Jin Park, So Hyun Kim, Catherine Lord, Somer Bishop, Shrikanth S. Narayanan
Speaker diarization using latent space clustering in generative adversarial network. CoRR (2019)
Md. Nasir, Sandeep Nallan Chakravarthula, Brian R. Baucom, David C. Atkins, Panayiotis G. Georgiou, Shrikanth S. Narayanan
Modeling Interpersonal Linguistic Coordination in Conversations using Word Mover's Distance. CoRR (2019)
Prashanth Gurunath Shivakumar, Shao-Yen Tseng, Panayiotis G. Georgiou, Shrikanth S. Narayanan
Behavior Gated Language Models. CoRR (2019)
Monisankha Pal, Manoj Kumar, Raghuveer Peri, Shrikanth S. Narayanan
A study of semi-supervised speaker diarization system using gan mixture model. CoRR (2019)
Taruna Agrawal, Rahul Gupta, Shrikanth S. Narayanan
On Evaluating CNN Representations for Low Resource Medical Image Classification. ICASSP (2019)
Nithin Rao Koluguri, Manoj Kumar, So Hyun Kim, Catherine Lord, Shrikanth S. Narayanan
Meta-learning for robust child-adult classification from speech. CoRR (2019)
Theodoros Giannakopoulos, Spiros Dimopoulos, Georgios Pantazopoulos, Aggelina Chatziagapi, Dimitris Sgouropoulos, Athanasios Katsamanis, Alexandros Potamianos, Shrikanth S. Narayanan
Using Oliver API for emotion-aware movie content characterization. CBMI (2019)
Timothy Greer, Benjamin Ma, Matthew E. Sachs, Assal Habibi, Shrikanth S. Narayanan
A Multimodal View into Music's Effect on Human Neural, Physiological, and Emotional Experience. ACM Multimedia (2019)
Tiantian Feng, Shrikanth S. Narayanan
Imputing Missing Data In Large-Scale Multivariate Biomedical Wearable Recordings Using Bidirectional Recurrent Neural Networks With Temporal Activation Regularization. EMBC (2019)
Haoqi Li, Ming Tu, Jing Huang, Shrikanth S. Narayanan, Panayiotis G. Georgiou
Speaker-invariant Affective Representation Learning via Adversarial Training. CoRR (2019)
Che-Wei Huang, Shrikanth S. Narayanan
On Role and Location of Normalization before Model-based Data Augmentation in Residual Blocks for Classification Tasks. ICASSP (2019)
Shen Yan, Homa Hosseinmardi, Hsien-Te Kao, Shrikanth S. Narayanan, Kristina Lerman, Emilio Ferrara
Estimating Individualized Daily Self-Reported Affect with Wearable Sensors. ICHI (2019)
Rini A. Sharon, Shrikanth S. Narayanan, Mriganka Sur, Hema A. Murthy
An Empirical Study of Speech Processing in the Brain by Analyzing the Temporal Syllable Structure in Speech-input Induced EEG. ICASSP (2019)
Abhishek Tiwari, Raymundo Cassani, Shrikanth S. Narayanan, Tiago H. Falk
A Comparative Study of Stress and Anxiety Estimation in Ecological Settings Using a Smart-shirt and a Smart-bracelet. EMBC (2019)
Krishna Somandepalli, Shrikanth S. Narayanan
Reinforcing Self-expressive Representation with Constraint Propagation for Face Clustering in Movies. ICASSP (2019)
Rajat Hebbar, Krishna Somandepalli, Shrikanth S. Narayanan
Robust Speech Activity Detection in Movie Audio: Data Resources and Experimental Evaluation. ICASSP (2019)
Taruna Agrawal, Rahul Gupta, Shrikanth S. Narayanan
On evaluating CNN representations for low resource medical image classification. CoRR (2019)
Kunal Dhawan, Colin Vaz, Ruchir Travadi, Shrikanth S. Narayanan
Towards Adapting NMF Dictionaries Using Total Variability Modeling for Noise-Robust Acoustic Features. CoRR (2019)
Prashanth Gurunath Shivakumar, Naveen Kumar, Panayiotis G. Georgiou, Shrikanth S. Narayanan
Incremental Online Spoken Language Understanding. CoRR (2019)
Shao-Yen Tseng, Panayiotis G. Georgiou, Shrikanth S. Narayanan
Multimodal Embeddings from Language Models. CoRR (2019)
Raghuveer Peri, Monisankha Pal, Arindam Jati, Krishna Somandepalli, Shrikanth S. Narayanan
Robust speaker recognition using unsupervised adversarial invariance. CoRR (2019)
Karel Mundnich, Benjamin Girault, Shrikanth S. Narayanan
Bluetooth Based Indoor Localization Using Triplet Embeddings. ICASSP (2019)
Vidhyasaharan Sethu, Emily Mower Provost, Julien Epps, Carlos Busso, Nicholas Cummins, Shrikanth S. Narayanan
The Ambiguous World of Emotion Representation. CoRR (2019)
Victor R. Martinez, Anil Ramakrishna, Ming-Chang Chiu, Karan Singla, Shrikanth S. Narayanan
A system for the 2019 Sentiment, Emotion and Cognitive State Task of DARPAs LORELEI project. CoRR (2019)
Arindam Jati, Amrutha Nadarajan, Karel Mundnich, Shrikanth S. Narayanan
Characterizing dynamically varying acoustic scenes from egocentric audio recordings in workplace setting. CoRR (2019)
Manoj Kumar, Pooja Chebolu, So Hyun Kim, Kassandra Martinez, Catherine Lord, Shrikanth S. Narayanan
A Knowledge Driven Structural Segmentation Approach for Play-Talk Classification During Autism Assessment. INTERSPEECH (2018)
Colin Vaz, Vikram Ramanarayanan, Shrikanth S. Narayanan
Acoustic Denoising Using Dictionary Learning With Spectral and Temporal Regularization. IEEE ACM Trans. Audio Speech Lang. Process. 26 (5) (2018)
Rahul Gupta, Saurabh Sahu, Carol Y. Espy-Wilson, Shrikanth S. Narayanan
Semi-supervised and Transfer learning approaches for low resource sentiment classification. CoRR (2018)
Brandon M. Booth, Taylor J. Seamans, Shrikanth S. Narayanan
An Evaluation of EEG-based Metrics for Engagement Assessment of Distance Learners. EMBC (2018)
Shrikanth S. Narayanan
A Multimodal Approach to Understanding Human Vocal Expressions and Beyond. ICMI (2018)
Che-Wei Huang, Shrikanth S. Narayanan
Stochastic Shake-Shake Regularization for Affective Learning from Speech. INTERSPEECH (2018)
Christos Baziotis, Athanasiou Nikolaos, Alexandra Chronopoulou, Athanasia Kolovou, Georgios Paraskevopoulos, Nikolaos Ellinas, Shrikanth S. Narayanan, Alexandros Potamianos
NTUA-SLP at SemEval-2018 Task 1: Predicting Affective Content in Tweets with Deep Attentive RNNs and Transfer Learning. SemEval@NAACL-HLT (2018)
Dogan Can, Victor R. Martinez, Pavlos Papadopoulos, Shrikanth S. Narayanan
Pykaldi: A Python Wrapper for Kaldi. ICASSP (2018)
Nikolaos Flemotomos, Zhuohao Chen, David C. Atkins, Shrikanth S. Narayanan
Role Annotated Speech Recognition for Conversational Interactions. SLT (2018)
Tiantian Feng, Amrutha Nadarajan, Colin Vaz, Brandon M. Booth, Shrikanth S. Narayanan
TILES audio recorder: an unobtrusive wearable solution to track audio activity. WearSys@MobiSys (2018)
Anil Ramakrishna, Timothy Greer, David C. Atkins, Shrikanth S. Narayanan
Computational Modeling of Conversational Humor in Psychotherapy. INTERSPEECH (2018)
Karan Singla, Zhuohao Chen, Nikolaos Flemotomos, James Gibson, Dogan Can, David C. Atkins, Shrikanth S. Narayanan
Using Prosodic and Lexical Information for Learning Utterance-level Behaviors in Psychotherapy. INTERSPEECH (2018)
Christos Baziotis, Nikos Athanasiou, Alexandra Chronopoulou, Athanasia Kolovou, Georgios Paraskevopoulos, Nikolaos Ellinas, Shrikanth S. Narayanan, Alexandros Potamianos
NTUA-SLP at SemEval-2018 Task 1: Predicting Affective Content in Tweets with Deep Attentive RNNs and Transfer Learning. CoRR (2018)
Che-Wei Huang, Shrikanth S. Narayanan
Shaking Acoustic Spectral Sub-Bands can Letxer Regularize Learning in Affective Computing. ICASSP (2018)
Homa Hosseinmardi, Amir Ghasemian, Shrikanth S. Narayanan, Kristina Lerman, Emilio Ferrara
Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and Prediction. CoRR (2018)
Brandon M. Booth, Karel Mundnich, Shrikanth S. Narayanan
Fusing Annotations with Majority Vote Triplet Embeddings. AVEC@MM (2018)
Hsien-Te Kao, Homa Hosseinmardi, Shen Yan, Michelle Hasan, Shrikanth S. Narayanan, Kristina Lerman, Emilio Ferrara
Discovering Latent Psychological Structures from Self-Report Assessments of Hospital Workers. BESC (2018)
Che-Wei Huang, Shrikanth S. Narayanan
Shaking Acoustic Spectral Sub-bands Can Better Regularize Learning in Affective Computing. CoRR (2018)
Rajat Hebbar, Krishna Somandepalli, Shrikanth S. Narayanan
Improving Gender Identification in Movie Audio Using Cross-Domain Data. INTERSPEECH (2018)
Nikolaos Malandrakis, Anil Ramakrishna, Victor R. Martinez, Tanner Sorensen, Dogan Can, Shrikanth S. Narayanan
The ELISA Situation Frame extraction for low resource languages pipeline for LoReHLT'2016. Mach. Transl. 32 (1-2) (2018)
Che-Wei Huang, Shrikanth S. Narayanan
Normalization Before Shaking Toward Learning Symmetrically Distributed Representation Without Margin in Speech Emotion Recognition. CoRR (2018)
Jilt Sebastian, Manoj Kumar, Pavan Kumar D. S., Mathew Magimai-Doss, Hema A. Murthy, Shrikanth S. Narayanan
Denoising and Raw-waveform Networks for Weakly-Supervised Gender Identification on Noisy Speech. INTERSPEECH (2018)
Md. Nasir, Brian R. Baucom, Shrikanth S. Narayanan, Panayiotis G. Georgiou
Towards an Unsupervised Entrainment Distance in Conversational Speech using Deep Neural Networks. CoRR (2018)
Krishna Somandepalli, Victor R. Martinez, Naveen Kumar, Shrikanth S. Narayanan
Multimodal Representation of Advertisements Using Segment-level Autoencoders. ICMI (2018)
Victor Ardulov, Manoj Kumar, Shanna Williams, Thomas D. Lyon, Shrikanth S. Narayanan
Measuring Conversational Productivity in Child Forensic Interviews. CoRR (2018)
Nikolaos Flemotomos, Victor R. Martinez, James Gibson, David C. Atkins, Torrey A. Creed, Shrikanth S. Narayanan
Language Features for Automated Evaluation of Cognitive Behavior Psychotherapy Sessions. INTERSPEECH (2018)
Benjamin Parrell, Shrikanth S. Narayanan
Explaining Coronal Reduction: Prosodic Structure and Articulatory Posture. Phonetica 75 (2) (2018)
Benjamin Girault, Antonio Ortega, Shrikanth S. Narayanan
Irregularity-Aware Graph Fourier Transforms. IEEE Trans. Signal Process. 66 (21) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shrikanth S. Narayanan