Raghavendra Reddy Pappagari
Title
Cited by
Cited by
Year
Deep neural networks for emotion recognition combining audio and transcripts
J Cho, R Pappagari, P Kulkarni, J Villalba, Y Carmiel, N Dehak
arXiv preprint arXiv:1911.00432, 2019
652019
Hierarchical transformers for long document classification
R Pappagari, P Zelasko, J Villalba, Y Carmiel, N Dehak
2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019
612019
Can you tell me how to get past sesame street? sentence-level pretraining beyond language modeling
A Wang, J Hula, P Xia, R Pappagari, RT McCoy, R Patel, N Kim, I Tenney, ...
arXiv preprint arXiv:1812.10860, 2018
502018
Significance of analytic phase of speech signals in speaker verification
K Vijayan, PR Reddy, KSR Murty
Speech Communication 81, 54-71, 2016
492016
x-vectors meet emotions: A study on dependencies between emotion and speaker recognition
R Pappagari, T Wang, J Villalba, N Chen, N Dehak
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
362020
jiant 1.2: A software toolkit for research on general-purpose text understanding models
A Wang, IF Tenney, Y Pruksachatkun, K Yu, J Hula, P Xia, R Pappagari, ...
Note: http://jiant. info/Cited by: footnote 4, 2019
302019
Query word retrieval from continuous speech using GMM posteriorgrams
PR Reddy, K Rout, KSR Murty
2014 International Conference on Signal Processing and Communications (SPCOM …, 2014
222014
Looking for ELMo's friends: Sentence-level pretraining beyond language modeling
SR Bowman, E Pavlick, E Grave, B Van Durme, A Wang, J Hula, P Xia, ...
212018
Using State of the Art Speaker Recognition and Natural Language Processing Technologies to Detect Alzheimer's Disease and Assess its Severity.
R Pappagari, J Cho, L Moro-Velazquez, N Dehak
INTERSPEECH, 2177-2181, 2020
142020
Joint verification-identification in end-to-end multi-scale cnn framework for topic identification
R Pappagari, J Villalba, N Dehak
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
122018
Topic identification of spoken documents using unsupervised acoustic unit discovery
S Kesiraju, R Pappagari, L Ondel, L Burget, N Dehak, S Khudanpur, ...
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
102017
Unsupervised spoken word retrieval using Gaussian-Bernoulli restricted Boltzmann machines
PR Reddy, S Nayak, KSR Murty
Proc. INTERSPEECH, 1737-1741, 2014
102014
Experimental studies on effect of speaking mode on spoken term detection
K Rout, PR Reddy, KSR Murty
2015 Twenty First National Conference on Communications (NCC), 1-6, 2015
32015
Analysis of features from analytic representation of speech using MP-ABX measures
PR Reddy, K Vijayan, KSR Murty
Proc. INTERSPEECH, Dresden, Germany, 2015
32015
CopyPaste: An Augmentation Method for Speech Emotion Recognition
R Pappagari, J Villalba, P Żelasko, L Moro-Velazquez, N Dehak
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
22021
What Helps Transformers Recognize Conversational Structure? Importance of Context, Punctuation, and Labels in Dialog Act Recognition
P Żelasko, R Pappagari, N Dehak
arXiv preprint arXiv:2107.02294, 2021
12021
Representation Learning for Spoken Term Detection
PR Reddy
Indian Institute of Technology Hyderabad, 2015
12015
Beyond Isolated Utterances: Conversational Emotion Recognition
R Pappagari, P Żelasko, J Villalba, L Moro-Velazquez, N Dehak
arXiv preprint arXiv:2109.06112, 2021
2021
Joint prediction of truecasing and punctuation for conversational speech in low-resource scenarios
R Pappagari, P Żelasko, A Mikołajczyk, P Pęzik, N Dehak
arXiv preprint arXiv:2109.06103, 2021
2021
Representation Learning for Spoken Term Detection
P Raghavendra Reddy, K Sri Rama Murty, B Yegnanarayana
PATTERN RECOGNITION AND BIG DATA, 633-662, 2017
2017
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Articles 1–20