| 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 | 721 | 2019 |
| 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 | 223 | 2020 |
| 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 | 206 | 2019 |
| Acoustic Modeling for Google Home. B Li, TN Sainath, A Narayanan, J Caroselli, M Bacchiani, A Misra, ... Interspeech, 399-403, 2017 | 202 | 2017 |
| 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 | 188 | 2018 |
| Lower Frame Rate Neural Network Acoustic Models. G Pundak, TN Sainath Interspeech, 22-26, 2016 | 154 | 2016 |
| Superior serial memory in the blind: a case of cognitive compensatory adjustment N Raz, E Striem, G Pundak, T Orlov, E Zohary Current Biology 17 (13), 1129-1133, 2007 | 150 | 2007 |
| Large vocabulary automatic speech recognition for children H Liao, G Pundak, O Siohan, MK Carroll, N Coccaro, QM Jiang, ... Sixteenth Annual Conference of the International Speech Communication …, 2015 | 133 | 2015 |
| Toward domain-invariant speech recognition via large scale training A Narayanan, A Misra, KC Sim, G Pundak, A Tripathi, M Elfeky, P Haghani, ... 2018 IEEE Spoken Language Technology Workshop (SLT), 441-447, 2018 | 115 | 2018 |
| Phoebe: Pronunciation-aware contextualization for end-to-end speech recognition A Bruguier, R Prabhavalkar, G Pundak, TN Sainath ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 57 | 2019 |
| Domain Adaptation Using Factorized Hidden Layer for Robust Automatic Speech Recognition. KC Sim, A Narayanan, A Misra, A Tripathi, G Pundak, TN Sainath, ... Interspeech, 892-896, 2018 | 44 | 2018 |
| Contextual speech recognition with difficult negative training examples U Alon, G Pundak, TN Sainath ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 40 | 2019 |
| Robust and efficient image identification O Gutelzon, U Lavi, I Omer, Y Shor, S Bar, G Pundak US Patent 8,488,883, 2013 | 40 | 2013 |
| Highway-LSTM and Recurrent Highway Networks for Speech Recognition. G Pundak, TN Sainath Interspeech, 1303-1307, 2017 | 36 | 2017 |
| Enhancing audio using multiple recording devices D Kanevsky, G Pundak US Patent 9,947,364, 2018 | 32 | 2018 |
| Phoneme-based contextualization for cross-lingual speech recognition in end-to-end models K Hu, A Bruguier, TN Sainath, R Prabhavalkar, G Pundak arXiv preprint arXiv:1906.09292, 2019 | 22 | 2019 |
| Slm: Bridge the thin gap between speech and text foundation models M Wang, W Han, I Shafran, Z Wu, CC Chiu, Y Cao, N Chen, Y Zhang, ... 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023 | 21 | 2023 |
| Nam+: Towards scalable end-to-end contextual biasing for adaptive asr T Munkhdalai, Z Wu, G Pundak, KC Sim, J Li, P Rondon, TN Sainath 2022 IEEE Spoken Language Technology Workshop (SLT), 190-196, 2023 | 16 | 2023 |
| Contextual biasing for speech recognition RP Prabhavalkar, G Pundak, TN Sainath US Patent 11,423,883, 2022 | 14 | 2022 |
| Improving proper noun recognition in end-to-end asr by customization of the mwer loss criterion C Peyser, TN Sainath, G Pundak ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 12 | 2020 |
Tara SainathPrincipal Research Scientist, Google在 google.com 的电子邮件经过验证
