| 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 | 646 | 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 | 203 | 2019 |
| 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 | 181 | 2017 |
| Exploring architectures, data and units for streaming end-to-end speech recognition with rnn-transducer K Rao, H Sak, R Prabhavalkar 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2017 | 159 | 2017 |
| 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 | 125 | 2016 |
| 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 | 105 | 2018 |
| 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 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 86 | 2018 |
| 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 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 83 | 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 | 71 | 2019 |
| Compressing deep neural networks using a rank-constrained topology P Nakkiran, R Alvarez, R Prabhavalkar, C Parada Interspeech, 2015 | 70 | 2015 |
| Minimum word error rate training for attention-based sequence-to-sequence models R Prabhavalkar, TN Sainath, Y Wu, P Nguyen, Z Chen, CC Chiu, ... 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 69 | 2018 |
| 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 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 55 | 2015 |
| 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 | 51 | 2018 |
| Streaming small-footprint keyword spotting using sequence-to-sequence models Y He, R Prabhavalkar, K Rao, W Li, A Bakhtin, I McGraw 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2017 | 45 | 2017 |
| 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 | 45 | 2010 |
| 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 | 44 | 2020 |
| Two-pass end-to-end speech recognition TN Sainath, R Pang, D Rybach, Y He, R Prabhavalkar, W Li, M Visontai, ... arXiv preprint arXiv:1908.10992, 2019 | 39 | 2019 |
| An analysis of “attention” in sequence-to-sequence models R Prabhavalkar, TN Sainath, B Li, K Rao, N Jaitly Proc. of Interspeech, 2017 | 37 | 2017 |
| 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 | 36 | 2013 |
| Deep context: end-to-end contextual speech recognition G Pundak, TN Sainath, R Prabhavalkar, A Kannan, D Zhao 2018 IEEE spoken language technology workshop (SLT), 418-425, 2018 | 35 | 2018 |
Tara SainathResearch Scientist, GoogleVerifierad e-postadress på google.com
