| Long short-term memory recurrent neural network architectures for large scale acoustic modeling FB Haşim Sak, Andrew Senior Fifteenth Annual Conference of the International Speech Communication …, 2014 | 2529* | 2014 |
| Long short-term memory based recurrent neural network architectures for large vocabulary speech recognition H Sak, A Senior, F Beaufays arXiv preprint arXiv:1402.1128, 2014 | 945 | 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 | 729 | 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 | 459 | 2015 |
| “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, 61-90, 2010 | 384 | 2010 |
| Business listing search B Strope, WJ Byrne, F Beaufays US Patent 8,041,568, 2011 | 360 | 2011 |
| Speech recognition with parallel recognition tasks B Strope, F Beaufays, O Siohan US Patent 8,364,481, 2013 | 328 | 2013 |
| 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 | 324 | 2018 |
| Transform-Domain Adaptive Filters: An Analytical Approach. F Beaufays | 283 | 1995 |
| Integrating Voice-Enabled Local Search and Contact Lists F Beaufays, B Strope, W Byrne US Patent App. 11/855,980, 2008 | 282 | 2008 |
| Application of neural networks to load-frequency control in power systems. F Beaufays, Y Abdel-Magid, B Widrow | 230 | 1994 |
| 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 | 223 | 2015 |
| 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 | 191 | 2015 |
| 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 | 189 | 1997 |
| Method and system for learning linguistically valid word pronunciations from acoustic data F Beaufays, A Sankar, M Weintraub, S Williams US Patent 7,266,495, 2007 | 180 | 2007 |
| 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 | 171 | 2016 |
| 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 | 170 | 2017 |
| Neural network for keyboard input decoding S Zhai, T Breuel, O Alsharif, Y Ouyang, F Beaufays, J Schalkwyk US Patent 9,678,664, 2017 | 162 | 2017 |
| Federated learning for emoji prediction in a mobile keyboard S Ramaswamy, R Mathews, K Rao, F Beaufays arXiv preprint arXiv:1906.04329, 2019 | 153 | 2019 |
| Robust text-independent speaker identification over telephone channels HA Murthy, F Beaufays, LP Heck, M Weintraub IEEE Transactions on Speech and Audio Processing 7 (5), 554-568, 1999 | 143 | 1999 |
Brian StropeMusician and ComposerEmail verificata su musicbybrianpatrick.com
