| State-of-the-art speech recognition with sequence-to-sequence models CC Chiu, TN Sainath, Y Wu, R Prabhavalkar, P Nguyen, Z Chen, ... 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 672 | 2018 |
| 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 | 219 | 2019 |
| A Comparison of Sequence-to-Sequence Models for Speech Recognition R Prabhavalkar, K Rao, TN Sainath, B Li, L Johnson, N Jaitly Proc. Interspeech 2017, 939-943, 2017 | 187 | 2017 |
| Comparison of discriminative input and output transformations for speaker adaptation in the hybrid NN/HMM systems B Li, KC Sim INTERSPEECH, 526-529, 2010 | 174 | 2010 |
| Multichannel Signal Processing With Deep Neural Networks for Automatic Speech Recognition TN Sainath, RJ Weiss, KW Wilson, B Li, A Narayanan, E Variani, ... IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (5), 965-979, 2017 | 139 | 2017 |
| Deep Learning for Audio Signal Processing H Purwins, B Li, T Virtanen, J Schlüter, SY Chang, T Sainath IEEE Journal of Selected Topics in Signal Processing 13 (2), 206-219, 2019 | 125 | 2019 |
| Acoustic Modeling for Google Home B Li, T Sainath, A Narayanan, J Caroselli, M Bacchiani, A Misra, I Shafran, ... INTERSPEECH-2017, 2017 | 119 | 2017 |
| Exploring speech enhancement with generative adversarial networks for robust speech recognition C Donahue, B Li, R Prabhavalkar 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 113 | 2018 |
| Multilingual speech recognition with a single end-to-end model S Toshniwal, TN Sainath, RJ Weiss, B Li, P Moreno, E Weinstein, K Rao 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 111 | 2018 |
| Neural Network Adaptive Beamforming for Robust Multichannel Speech Recognition. B Li, TN Sainath, RJ Weiss, KW Wilson, M Bacchiani INTERSPEECH, 1976-1980, 2016 | 88 | 2016 |
| 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 | 73 | 2019 |
| Multi-dialect speech recognition with a single sequence-to-sequence model B Li, TN Sainath, KC Sim, M Bacchiani, E Weinstein, P Nguyen, Z Chen, ... 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 57 | 2018 |
| Multi-Language Multi-Speaker Acoustic Modeling for LSTM-RNN based Statistical Parametric Speech Synthesis B Li, H Zen INTERSPEECH, 2016 | 55 | 2016 |
| Modeling Time-Frequency Patterns with LSTM vs. Convolutional Architectures for LVCSR Tasks TN Sainath, B Li INTERSPEECH, 2016 | 55 | 2016 |
| A spectral masking approach to noise-robust speech recognition using deep neural networks B Li, KC Sim IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (8), 1296 …, 2014 | 52 | 2014 |
| A streaming on-device end-to-end model surpassing server-side conventional model quality and latency TN Sainath, Y He, B Li, A Narayanan, R Pang, A Bruguier, S Chang, W Li, ... ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 49 | 2020 |
| Improving robustness of deep neural networks via spectral masking for automatic speech recognition B Li, KC Sim 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 279-284, 2013 | 44 | 2013 |
| An investigation of spectral restoration algorithms for deep neural networks based noise robust speech recognition. B Li, Y Tsao, KC Sim INTERSPEECH, 3002-3006, 2013 | 43 | 2013 |
| Bytes are All You Need: End-to-End Multilingual Speech Recognition and Synthesis with Bytes B Li, Y Zhang, T Sainath, Y Wu, W Chan ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 41 | 2019 |
| An Analysis of “Attention” in Sequence-to-Sequence Models R Prabhavalkar, TN Sainath, B Li, K Rao, N Jaitly Proc. Interspeech 2017, 3702-3706, 2017 | 37 | 2017 |
Tara SainathResearch Scientist, GoogleVerifierad e-postadress på google.com
