Long short-term memory recurrent neural network architectures for large scale acoustic modeling H Sak, A Senior, F Beaufays Fifteenth Annual Conference of the International Speech Communication …, 2014 | 3261 | 2014 |
Federated learning for mobile keyboard prediction A Hard, K Rao, R Mathews, S Ramaswamy, F Beaufays, S Augenstein, ... arXiv preprint arXiv:1811.03604, 2018 | 1707 | 2018 |
Long short-term memory based recurrent neural network architectures for large vocabulary speech recognition H Sak arXiv preprint arXiv:1402.1128, 2014 | 1494 | 2014 |
Applied federated learning: Improving google keyboard query suggestions T Yang, G Andrew, H Eichner, H Sun, W Li, N Kong, D Ramage, ... arXiv preprint arXiv:1812.02903, 2018 | 709 | 2018 |
Fast and accurate recurrent neural network acoustic models for speech recognition H Sak, A Senior, K Rao, F Beaufays arXiv preprint arXiv:1507.06947, 2015 | 555 | 2015 |
Speech recognition with parallel recognition tasks B Strope, F Beaufays, O Siohan US Patent 8,364,481, 2013 | 446 | 2013 |
“Your word is my command”: Google search by voice: A case study J Schalkwyk, D Beeferman, F Beaufays, B Byrne, C Chelba, M Cohen, ... Advances in Speech Recognition: Mobile Environments, Call Centers and …, 2010 | 412 | 2010 |
Business listing search B Strope, WJ Byrne, F Beaufays US Patent 8,041,568, 2011 | 385 | 2011 |
Federated evaluation of on-device personalization K Wang, R Mathews, C Kiddon, H Eichner, F Beaufays, D Ramage arXiv preprint arXiv:1910.10252, 2019 | 336 | 2019 |
Federated learning for emoji prediction in a mobile keyboard S Ramaswamy, R Mathews, K Rao, F Beaufays arXiv preprint arXiv:1906.04329, 2019 | 336 | 2019 |
Transform-Domain Adaptive Filters: An Analytical Approach. F Beaufays | 302 | 1995 |
Integrating Voice-Enabled Local Search and Contact Lists F Beaufays, B Strope, W Byrne US Patent App. 11/855,980, 2008 | 299 | 2008 |
Grapheme-to-phoneme conversion using long short-term memory recurrent neural networks K Rao, F Peng, H Sak, F Beaufays 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 280 | 2015 |
Neural network for keyboard input decoding S Zhai, T Breuel, O Alsharif, Y Ouyang, F Beaufays, J Schalkwyk US Patent 9,678,664, 2017 | 271 | 2017 |
Data driven word pronunciation learning and scoring with crowd sourcing based on the word's phonemes pronunciation scores F Peng, F Beaufays, B Strope, X Lei, PJM Mengibar, TD Strohman US Patent 9,741,339, 2017 | 261 | 2017 |
Application of neural networks to load-frequency control in power systems. F Beaufays, Y Abdel-Magid, B Widrow | 258 | 1994 |
Google usm: Scaling automatic speech recognition beyond 100 languages Y Zhang, W Han, J Qin, Y Wang, A Bapna, Z Chen, N Chen, B Li, ... arXiv preprint arXiv:2303.01037, 2023 | 236 | 2023 |
Learning acoustic frame labeling for speech recognition with recurrent neural networks H Sak, A Senior, K Rao, O Irsoy, A Graves, F Beaufays, J Schalkwyk 2015 IEEE international conference on acoustics, speech and signal …, 2015 | 229 | 2015 |
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 | 228 | 2016 |
Neural-network based measures of confidence for word recognition M Weintraub, F Beaufays, Z Rivlin, Y Konig, A Stolcke 1997 IEEE International Conference on Acoustics, Speech, and Signal …, 1997 | 192 | 1997 |