Rohit Prabhavalkar
Rohit Prabhavalkar
Staff Research Scientist, Google
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
State-of-the-art speech recognition with sequence-to-sequence models
CC Chiu, TN Sainath, Y Wu, R Prabhavalkar, P Nguyen, Z Chen, ...
International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
4502018
A Comparison of Sequence-to-Sequence Models for Speech Recognition
R Prabhavalkar, K Rao, TN Sainath, B Li, L Johnson, N Jaitly
Interspeech, 939-943, 2017
1292017
Exploring architectures, data and units for streaming end-to-end speech recognition with rnn-transducer
K Rao, H Sak, R Prabhavalkar
IEEE Automatic Speech Recognition and Understanding (ASRU), 2017
1102017
Personalized speech recognition on mobile devices
I McGraw, R Prabhavalkar, R Alvarez, MG Arenas, K Rao, D Rybach, ...
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
1072016
Streaming end-to-end speech recognition for mobile devices
Y He, TN Sainath, R Prabhavalkar, I McGraw, R Alvarez, D Zhao, ...
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
962019
On the compression of recurrent neural networks with an application to LVCSR acoustic modeling for embedded speech recognition
R Prabhavalkar, O Alsharif, A Bruguier, L McGraw
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2016
682016
An analysis of incorporating an external language model into a sequence-to-sequence model
A Kannan, Y Wu, P Nguyen, TN Sainath, Z Chen, R Prabhavalkar
International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
652018
Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition
C Donahue, B Li, R Prabhavalkar
International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
632018
Compressing deep neural networks using a rank-constrained topology
P Nakkiran, R Alvarez, R Prabhavalkar, C Parada
INTERSPEECH, 2015
572015
Minimum Word Error Rate Training for Attention-based Sequence-to-Sequence Models
R Prabhavalkar, TN Sainath, Y Wu, P Nguyen, Z Chen, CC Chiu, ...
International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
492018
Backpropagation training for multilayer conditional random field based phone recognition
R Prabhavalkar, E Fosler-Lussier
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
442010
Automatic Gain Control and Multi-Style Training For Robust Small-Footprint Keyword Spotting With Deep Neural Networks
R Prabhavalkar, R Alvarez, C Parada, P Nakkiran, TN Sainath
International Conference on Acoustics, Speech and Signal Processing, 2015
422015
Lingvo: a modular and scalable framework for sequence-to-sequence modeling
J Shen, P Nguyen, Y Wu, Z Chen, MX Chen, Y Jia, A Kannan, T Sainath, ...
arXiv preprint arXiv:1902.08295, 2019
372019
Conditional random fields in speech, audio, and language processing
E Fosler-Lussier, Y He, P Jyothi, R Prabhavalkar
Proceedings of the IEEE 101 (5), 1054-1075, 2013
332013
Streaming Small-Footprint Keyword Spotting using Sequence-to-Sequence Models
Y He, R Prabhavalkar, K Rao, W Li, A Bakhtin, I McGraw
IEEE Automatic Speech Recognition and Understanding (ASRU), 2017
312017
An analysis of “attention” in sequence-to-sequence models
R Prabhavalkar, TN Sainath, B Li, K Rao, N Jaitly
Proc. of Interspeech, 2017
312017
From Audio to Semantics: Approaches to end-to-end spoken language understanding
P Haghani, A Narayanan, M Bacchiani, G Chuang, N Gaur, P Moreno, ...
2018 IEEE Spoken Language Technology Workshop (SLT), 720-726, 2018
272018
No Need for a Lexicon? Evaluating the Value of the Pronunciation Lexica in End-to-End Models
TN Sainath, R Prabhavalkar, S Kumar, S Lee, A Kannan, D Rybach, ...
International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
262018
Improving the Performance of Online Neural Transducer Models
TN Sainath, CC Chiu, R Prabhavalkar, A Kannan, Y Wu, P Nguyen, ...
International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
262018
On the efficient representation and execution of deep acoustic models
R Alvarez, R Prabhavalkar, A Bakhtin
arXiv preprint arXiv:1607.04683, 2016
242016
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Articles 1–20