Publications/Patents

2020

• Anil Ramakrishna, Rahul Gupta and Shrikanth Narayanan, Joint Multi-Dimensional Model for Global and Time-Series Annotations, IEEE Transaction of Affective Computing.

• Saurabh Sahu, Rahul Gupta, and Carol Espy-Wilson, Modeling Feature Representations for Affective Speech using Generative Adversarial Networks. IEEE Transaction of Affective Computing.

• Akshit Tyagi, Varun Sharma, Rahul Gupta, Lynn Samson, Nan Zhuang, Zihang Wang, Bill Campbell, Fast Intent Classification for Spoken Language Understanding, ICASSP, 2020.

• Aman Alok, Rahul Gupta, Shankar Ananthakrishnan, Design Considerations for Hypothesis Rejection Modules in Spoken-Language-Understanding Systems, ICASSP, 2020.

• Aarsh Patel, Rahul Gupta, Mukund Sridhar, Satyapriya Krishna, Alok Aman, Peng Liu Towards Classification Parity Across Cohorts, ICLR-IRL workshop, 2020.

2019

• Archiman Dutta, Rahul Gupta, Subhadeep Chakraborty, Dhinesh Dhanasekaran, Deepak Kumar Nayak, Avik Sinha, Techniques For Generating Machine Learning Training Data, United States Patent.

• Rahul Gupta, Aman Alok, Shankar Ananthakrishnan, One-vs-All Models for Asynchronous Training: An Empirical Analysis, Interspeech, 2019.

• Rahul Gupta, Data augmentation for low resource sentiment analysis using generative adversarial networks . ICASSP, 2019.

• Taruna Agrawal, Rahul Gupta, Shrikanth Narayanan, evaluating CNN representations for low resource medical image classification . ICASSP, 2019.

2018

• Chengwei Su, Rahul Gupta, Shankar Ananthakrishnan and Spyros Matsoukas, A Re-ranker Scheme for Integrating Large Scale NLU Models. IEEE-SLT, 2018.

• Saurabh Sahu, Rahul Gupta, and Carol Espy-Wilson, On Enhancing Speech Emotion Recognition using Generative Adversarial Networks. Interspeech, 2018.

• Saurabh Sahu, Rahul Gupta, Ganesh Sivaraman and Carol Espy-Wilson, Smoothing Model Predictions using Adversarial Training Procedures for Speech Based Emotion Recognition. ICASSP, 2018.

• Rahul Gupta, Saurabh Sahu, Carol Espy-Wilson and Shrikanth Narayanan, Semi-supervised and Transfer learning approaches for low resource sentiment classification. ICASSP, 2018.

2017

• Taruna Agrawal, Rahul Gupta , Saurabh Sahu and Carol Espy-Wilson SCL-UMD at the Medico Task-MediaEval 2017: Transfer learning based Classification of Medical Images, Medico challenge-MediaEval, 2017.

• Taruna Agrawal, Rahul Gupta and, Shrikanth Narayanan, Multimodal Detection of Fake Social Media Use Through a Fusion of Classification and Pairwise Ranking Systems, EUSIPCO, 2017. Presented by the first author at WiML@NIPS-2017.

• Qinyi Luo, Rahul Gupta and, Shrikanth Narayanan, Transfer Learning between Concepts for Human Behavior Modeling: An Application to Sincerity and Deception Prediction, Interspeech, 2017.

• Saurabh Sahu, Rahul Gupta, Ganesh Sivaraman and Carol Espy-Wilson, Adversarial Auto-encoders for Speech Based Emotion Recognition. Interspeech, 2017.

• Rahul Gupta, Saurabh Sahu, Carol Espy-Wilson and Shrikanth Narayanan, An Affect Prediction Approach through Depression Severity Parameter Incorporation in Neural Networks, Interspeech, 2017.

• Rahul Gupta, and Shrikanth Narayanan, Inferring object rankings based on noisy pairwise comparisons from multiple annotators, arXiv preprint arXiv:1612.04413, 2017.

• Sabyasachee Baruah, Rahul Gupta, and Shrikanth Narayanan, A Knowledge Transfer and Boosting Approach to the Prediction of Affect in Movies, ICASSP, 2017

2016

• Rahul Gupta, Kartik Audhkhasi, Zach Jacokes, Agata Rozga, and Shrikanth Narayanan, Modeling multiple time series annotations based on ground truth inference and distortion, IEEE Transactions on Affective Computing, 2016.

• Rahul Gupta, Daniel Bone, Sungbok Lee, and Shrikanth Narayanan, Analysis of engagement behavior in children during dyadic interactions using prosodic cues, Computer Speech and Language, 2016.

• Rahul Gupta, Kartik Audhkhasi, Sungbok Lee, and Shrikanth Narayanan, Detecting paralinguistic events in audio stream using context in features and probabilistic decisions, Computer Speech and Language, 2016.

• Krishna Somandepalli, Rahul Gupta, Md Nasir, Brandon Booth, Sungbok Lee and Shrikanth Narayanan, Online Affect Tracking with Multimodal Kalman Filters, AVEC workshop, 2016

• Rahul Gupta and Shrikanth Narayanan, Predicting Affective Dimensions based on Self Assessed Depression Severity, Proc. Interspeech, 2016.

• Rahul Gupta, Nishant Nath, Taruna Agrawal, Panayiotis Georgiou, David Atkins and Shrikanth Narayanan,Laughter Valence Prediction in Motivational Interviewing based on Lexical and Acoustic Cues, Proc. Interspeech, 2016.

• Anil Ramakrishna, Rahul Gupta, Ruth Grossman and Shrikanth Narayanan, An Expectation Maximization approach to Joint Modeling of Multidimensional labels derived from Multiple Annotators, Proc. Interspeech, 2016.

• Agnes Youn, Theodora Chaspari, Rahul Gupta, Leah I. Stein Duker, Sharon A. Cermak, Shrikanth Narayanan, Capturing the Structure of Electrodermal Activity with Deep Neural Networks, International Conference of the IEEE Engineering in Medicine and Biology Society (Undergraduate student posters paper), 2016.

• Manoj Kumar, Rahul Gupta, Daniel Bone, Nikolaos Malandrakis, Somer Bishop and Shrikanth Narayanan, Objective Language Feature Analysis in Children with Neurodevelopmental Disorders during Autism Assessment, Proc. Interspeech, 2016.

• Daniel Bone, Somer Bishop, Rahul Gupta, Sungbok Lee and Shrikanth Narayanan, Acoustic-Prosodic and Turn-Taking Features in Interactions with Children with Neurodevelopmental Disorders, Proc. Interspeech, 2016.

• Brandon Booth, Rahul Gupta, Pavlos Papadopoulos, Ruchir Travadi and Shrikanth Narayanan, Automatic Estimation of Perceived Sincerity From Spoken Language, Proc. Interspeech, 2016.

• Rahul Gupta, Theodora Chaspari, Jangwon Kim, Naveen Kumar, Daniel Bone and Shrikanth Narayanan, Pathological speech processing: state-of-the-art, current challenges, and future directions, Proc. ICASSP, 2016.

2015

• Rahul Gupta, Theodora Chaspari, Panayiotis Georgiou, David Atkins and Shrikanth Narayanan, Analysis and modeling of the role of laughter in motivational interviewing based psychotherapy conversations, Proc. Interspeech, 2015.

• Jangwon Kim, Md Nasir, Rahul Gupta, Maarten Van Segbroeck, Daniel Bone, Matthew Black, Zisis Iason Skordilis, Zhaojun Yang, Panayiotis Georgiou, Shrikanth Narayanan, Automatic estimation of Parkinson's disease severity from diverse speech tasks, Proc. Interspeech, 2015.

• Matthew Black, Daniel Bone, Zisis Iason Skordilis, Rahul Gupta, Wei Xia, Pavlos Papadopoulos, Sandeep Nallan Chakravarthula, Bo Xiao, Maarten Van Segbroeck, Jangwon Kim, Panayiotis Georgiou, Shrikanth Narayanan, Automated Evaluation of Non-Native English Pronunciation Quality: Combining Knowledge and Data-Driven Features at Multiple Time Scales, Proc. Interspeech, 2015. Winner of Interspeech Computational Paralinguistics Challenge, 2015.

• Rahul Gupta, Naveen Kumar, Shrikanth Narayanan, Affect Prediction in Music using Boosted Ensemble of Filters, Proc. EUSIPCO, 2015.

• Sandeep Nallan Chakravarthula, Rahul Gupta, Brian Baucom, Panayiotis Georgiou, A Language-Based Generative Model Framework For Behavioral Analysis Of Couples’ Therapy, Proc. ICASSP, 2015.

• Rahul Gupta, Kartik Audhkhasi, Shrikanth Narayanan, A Mixture Of Experts Approach Towards Intelligibility Classification Of Pathological Speech, Proc. ICASSP, 2015.

• Taruna Agrawal, Rahul Gupta, Shrikanth Narayanan, Retrieving Social Images using Relevance Filtering and Diverse Selection, Retrieving diverse social images task, MediaEval Workshop, 2015.

• Rahul Gupta, Shrikanth Narayanan, Predicting Affect in Music Using Regression Methods on Low Level Features, Emotion in Music Challenge, MediaEval Workshop, 2015.

2014

• Rahul Gupta, Sankaranarayanan Ananthakrishnan, Zhaojun Yang, Shrikanth Narayanan, Variable Span Disfluency Detection in ASR Transcripts, Proc. Interspeech, 2014.

• Rahul Gupta, Panayiotis Georgiou, David Atkins, Shrikanth Narayanan, Predicting Client's Inclination Towards Target Behavior Change in Motivational Interviewing and Investigating the Role of Laughter, Proc. Interspeech, 2014.

• Rahul Gupta, Kartik Audhkhasi, Shrikanth Narayanan, Training ensemble of diverse classifiers on feature subsets, Proc. ICASSP, 2014.

• Rahul Gupta, Nikolaos Malandrakis, Bo Xiao, Tanaya Guha, Maarten Van Segbroeck, Matthew P Black, Alexandros Potamianos, Shrikanth S Narayanan, Multimodal prediction of affective dimensions and depression in human-computer interactions, Audio Visual Emotion Challenge and Workshop, 2014.

• Naveen Kumar, Rahul Gupta, Tanaya Guha, Colin Vaz, Maarten VanSegbroeck, Jangwon Kim, Shrikanth Narayanan, Affective Feature Design and Predicting Continuous Affective Dimensions from Music, Emotion in Music Challenge, MediaEval Workshop, 2014.

2013

• Rahul Gupta, Kartik Audhkhasi, Sungbok Lee, Shrikanth Narayanan, Paralinguistic event detection from speech using probabilistic time-series smoothing and masking, Proc. Interspeech, 2013. Winner of Interspeech Computational Paralinguistics Challenge, 2013 (USC Viterbi News) .

• Rahul Gupta, Chi-Chun Lee, Sungbok Lee, Shrikanth Narayanan, Assesment of a child's engagement behavior using sequence model based features, Workshop on Affective Social Speech Signals, 2013.

2012

• Rahul Gupta, Chi-Chun Lee, Daniel Bone, Agata Rozga, Sungbok Lee, Shrikanth Narayanan, Acoustical analysis of engagement behavior in children, Third Workshop on Child, Computer and Interaction, 2012.

• Rahul Gupta, Chi-Chun Lee, Shrikanth Narayanan, Classification of emotional content of sighs in dyadic human interactions, Proc. ICASSP, 2012.