Rahul Gupta
Rahul Gupta
Amazon Alexa
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BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation
J Dhamala, T Sun, V Kumar, S Krishna, Y Pruksachatkun, KW Chang, ...
Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021
Multimodal prediction of affective dimensions and depression in human-computer interactions
R Gupta, N Malandrakis, B Xiao, T Guha, M Van Segbroeck, MP Black, ...
Proceedings of the 4th International Workshop on Audio/Visual Emotion …, 2014
Adversarial Auto-Encoders for Speech Based Emotion Recognition
S Sahu, R Gupta, G Sivaraman, W AbdAlmageed, C Espy-Wilson
Proc. Interspeech 2017, 1243-1247, 2017
On Enhancing Speech Emotion Recognition using Generative Adversarial Networks
S Sahu, R Gupta, C Espy-Wilson
arXiv preprint arXiv:1806.06626, 2018
Paralinguistic event detection from speech using probabilistic time-series smoothing and masking.
R Gupta, K Audhkhasi, S Lee, S Narayanan
Interspeech, 173-177, 2013
Pathological speech processing: State-of-the-art, current challenges, and future directions
R Gupta, T Chaspari, J Kim, N Kumar, D Bone, S Narayanan
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
Fednlp: Benchmarking federated learning methods for natural language processing tasks
BY Lin, C He, Z Zeng, H Wang, Y Huang, C Dupuy, R Gupta, ...
arXiv preprint arXiv:2104.08815, 2021
Automatic estimation of parkinson's disease severity from diverse speech tasks
J Kim, M Nasir, R Gupta, MV Segbroeck, D Bone, MP Black, ZI Skordilis, ...
Sixteenth Annual Conference of the International Speech Communication …, 2015
AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model
S Soltan, S Ananthakrishnan, J FitzGerald, R Gupta, W Hamza, H Khan, ...
arXiv preprint arXiv:2208.01448, 2022
On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations
Y Trista Cao, Y Pruksachatkun, KW Chang, R Gupta, V Kumar, J Dhamala, ...
arXiv e-prints, arXiv: 2203.13928, 2022
A Re-Ranker Scheme For Integrating Large Scale NLU Models
C Su, R Gupta, S Ananthakrishnan, S Matsoukas
2018 IEEE Spoken Language Technology Workshop (SLT), 670-676, 2018
Techniques for generating machine learning training data
A Dutta, R Gupta, S Chakraborty, DK Dhanasekaran, DK Nayak, A Sinha
US Patent 10,339,470, 2019
Semi-supervised and Transfer learning approaches for low resource sentiment classification
R Gupta, S Sahu, C Espy-Wilson, S Narayanan
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
Automated evaluation of non-native english pronunciation quality: Combining knowledge-and data-driven features at multiple time scales
MP Black, D Bone, ZI Skordilis, R Gupta, W Xia, P Papadopoulos, ...
Sixteenth Annual Conference of the International Speech Communication …, 2015
SCL-UMD at the Medico Task-MediaEval 2017: Transfer Learning based Classification of Medical Images.
T Agrawal, R Gupta, S Sahu, CY Espy-Wilson
MediaEval, 2017
Online Affect Tracking with Multimodal Kalman Filters
K Somandepalli, R Gupta, M Nasir, BM Booth, S Lee, SS Narayanan
Proceedings of the 6th International Workshop on Audio/Visual Emotion …, 2016
Data augmentation for low resource sentiment analysis using generative adversarial networks
R Gupta
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
Modeling multiple time series annotations as noisy distortions of the ground truth: An Expectation-Maximization approach
R Gupta, K Audhkhasi, Z Jacokes, A Rozga, SS Narayanan
IEEE transactions on affective computing 9 (1), 76-89, 2016
Analysis of engagement behavior in children during dyadic interactions using prosodic cues
R Gupta, D Bone, S Lee, S Narayanan
Computer Speech & Language 37, 47-66, 2016
Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification
Y Pruksachatkun, S Krishna, J Dhamala, R Gupta, KW Chang
arXiv preprint arXiv:2106.10826, 2021
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Články 1–20