| Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups G Hinton, L Deng, D Yu, GE Dahl, A Mohamed, N Jaitly, A Senior, ... IEEE Signal processing magazine 29 (6), 82-97, 2012 | 11218 | 2012 |
| Deep convolutional neural networks for large-scale speech tasks TN Sainath, B Kingsbury, G Saon, H Soltau, A Mohamed, G Dahl, ... Neural networks 64, 39-48, 2015 | 1716 | 2015 |
| Improving deep neural networks for LVCSR using rectified linear units and dropout GE Dahl, TN Sainath, GE Hinton 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 1600 | 2013 |
| Convolutional, long short-term memory, fully connected deep neural networks TN Sainath, O Vinyals, A Senior, H Sak 2015 IEEE international conference on acoustics, speech and signal …, 2015 | 1427 | 2015 |
| 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 | 1005 | 2018 |
| Low-rank matrix factorization for deep neural network training with high-dimensional output targets TN Sainath, B Kingsbury, V Sindhwani, E Arisoy, B Ramabhadran 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 598 | 2013 |
| Learning the speech front-end with raw waveform CLDNNs T Sainath, RJ Weiss, K Wilson, AW Senior, O Vinyals | 524 | 2015 |
| Convolutional neural networks for small-footprint keyword spotting T Sainath, C Parada | 492 | 2015 |
| 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 | 454 | 2019 |
| Deep belief networks using discriminative features for phone recognition A Mohamed, TN Sainath, G Dahl, B Ramabhadran, GE Hinton, ... 2011 IEEE international conference on acoustics, speech and signal …, 2011 | 384 | 2011 |
| Deep learning for audio signal processing H Purwins, B Li, T Virtanen, J Schlüter, SY Chang, T Sainath IEEE Journal of Selected Topics in Signal Processing 13 (2), 206-219, 2019 | 354 | 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 | 276 | 2017 |
| Scalable minimum Bayes risk training of deep neural network acoustic models using distributed Hessian-free optimization B Kingsbury, TN Sainath, H Soltau Thirteenth annual conference of the international speech communication …, 2012 | 269 | 2012 |
| Deep neural network language models E Arisoy, TN Sainath, B Kingsbury, B Ramabhadran Proceedings of the NAACL-HLT 2012 Workshop: Will We Ever Really Replace the …, 2012 | 261 | 2012 |
| Improvements to deep convolutional neural networks for LVCSR TN Sainath, B Kingsbury, A Mohamed, GE Dahl, G Saon, H Soltau, ... 2013 IEEE workshop on automatic speech recognition and understanding, 315-320, 2013 | 244 | 2013 |
| Making deep belief networks effective for large vocabulary continuous speech recognition TN Sainath, B Kingsbury, B Ramabhadran, P Fousek, P Novak, ... 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 30-35, 2011 | 232 | 2011 |
| Structured transforms for small-footprint deep learning V Sindhwani, T Sainath, S Kumar Advances in Neural Information Processing Systems 28, 2015 | 222 | 2015 |
| Auto-encoder bottleneck features using deep belief networks TN Sainath, B Kingsbury, B Ramabhadran 2012 IEEE international conference on acoustics, speech and signal …, 2012 | 219 | 2012 |
| Multichannel signal processing with deep neural networks for automatic speech recognition TN Sainath, RJ Weiss, KW Wilson, B Li, A Narayanan, E Variani, ... IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (5), 965-979, 2017 | 200 | 2017 |
| Generation of large-scale simulated utterances in virtual rooms to train deep-neural networks for far-field speech recognition in Google Home C Kim, A Misra, K Chin, T Hughes, A Narayanan, T Sainath, M Bacchiani | 199 | 2017 |
Brian KingsburyDistinguished Research Staff Member and Manager, IBM T. J. Watson Research Center, Yorktown HeightsZweryfikowany adres z us.ibm.com
