| 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 | 626 | 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 | 197 | 2020 |
| 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 | 193 | 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 | 183 | 2019 |
| Speech recognition techniques for a sign language recognition system P Dreuw, D Rybach, T Deselaers, M Zahedi, H Ney hand 60, 80, 2007 | 157 | 2007 |
| The RWTH Aachen University open source speech recognition system D Rybach, C Gollan, G Heigold, B Hoffmeister, J Lööf, R Schlüter, H Ney Tenth Annual Conference of the International Speech Communication Association, 2009 | 145 | 2009 |
| 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 | 137 | 2019 |
| Hybrid autoregressive transducer (hat) E Variani, D Rybach, C Allauzen, M Riley ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 126 | 2020 |
| Recognizing long-form speech using streaming end-to-end models A Narayanan, R Prabhavalkar, CC Chiu, D Rybach, TN Sainath, ... 2019 IEEE automatic speech recognition and understanding workshop (ASRU …, 2019 | 122 | 2019 |
| Shallow-Fusion End-to-End Contextual Biasing. D Zhao, TN Sainath, D Rybach, P Rondon, D Bhatia, B Li, R Pang Interspeech, 1418-1422, 2019 | 111 | 2019 |
| Rasr-the rwth aachen university open source speech recognition toolkit D Rybach, S Hahn, P Lehnen, D Nolden, M Sundermeyer, Z Tüske, ... Proc. ieee automatic speech recognition and understanding workshop, 2011 | 102 | 2011 |
| Bringing contextual information to google speech recognition P Aleksic, M Ghodsi, A Michaely, C Allauzen, K Hall, B Roark, D Rybach, ... | 91 | 2015 |
| Audio segmentation for speech recognition using segment features D Rybach, C Gollan, R Schluter, H Ney 2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009 | 82 | 2009 |
| Tracking using dynamic programming for appearance-based sign language recognition P Dreuw, T Deselaers, D Rybach, D Keysers, H Ney 7th International Conference on Automatic Face and Gesture Recognition …, 2006 | 82 | 2006 |
| The RWTH 2007 TC-STAR evaluation system for european English and Spanish. J Lööf, C Gollan, S Hahn, G Heigold, B Hoffmeister, C Plahl, D Rybach, ... Interspeech, 2145-2148, 2007 | 77 | 2007 |
| Spoken language processing techniques for sign language recognition and translation P Dreuw, D Stein, T Deselaers, D Rybach, M Zahedi, J Bungeroth, H Ney Technology and Disability 20 (2), 121-133, 2008 | 75 | 2008 |
| Context-dependent state tying using a neural network MAU Bacchiani, D Rybach US Patent 9,620,145, 2017 | 68 | 2017 |
| Contextual Speech Recognition in End-to-end Neural Network Systems Using Beam Search. I Williams, A Kannan, PS Aleksic, D Rybach, TN Sainath Interspeech, 2227-2231, 2018 | 67 | 2018 |
| Composition-based on-the-fly rescoring for salient n-gram biasing K Hall, E Cho, C Allauzen, F Beaufays, N Coccaro, K Nakajima, M Riley, ... | 62 | 2015 |
| Investigating the use of morphological decomposition and diacritization for improving Arabic LVCSR A El-Desoky, C Gollan, D Rybach, R Schlüter, H Ney Tenth annual conference of the international speech communication association, 2009 | 54 | 2009 |
