Tara Sainath
Tara Sainath
Research Scientist, Google
Verified email at google.com - Homepage
Title
Cited by
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Year
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
77992012
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
10262013
Deep convolutional neural networks for LVCSR
TN Sainath, A Mohamed, B Kingsbury, B Ramabhadran
2013 IEEE international conference on acoustics, speech and signal …, 2013
8742013
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
7662015
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
4522018
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
4002013
Learning the speech front-end with raw waveform CLDNNs
TN Sainath, RJ Weiss, A Senior, KW Wilson, O Vinyals
Sixteenth Annual Conference of the International Speech Communication …, 2015
3562015
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
3422015
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
3202011
Convolutional neural networks for small-footprint keyword spotting
TN Sainath, C Parada
Sixteenth Annual Conference of the International Speech Communication …, 2015
2522015
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
2482012
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
2082012
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
2072011
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
1882013
Auto-encoder bottleneck features using deep belief networks
TN Sainath, B Kingsbury, B Ramabhadran
2012 IEEE international conference on acoustics, speech and signal …, 2012
1822012
Structured transforms for small-footprint deep learning
V Sindhwani, T Sainath, S Kumar
Advances in Neural Information Processing Systems, 3088-3096, 2015
1482015
Learning filter banks within a deep neural network framework
TN Sainath, B Kingsbury, A Mohamed, B Ramabhadran
2013 IEEE workshop on automatic speech recognition and understanding, 297-302, 2013
1372013
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
1322017
Kernel methods match deep neural networks on timit
PS Huang, H Avron, TN Sainath, V Sindhwani, B Ramabhadran
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
1132014
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
1072017
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