Tara Sainath
Tara Sainath
Research Scientist, Google
Dirección de correo verificada de google.com - Página principal
TítuloCitado porAño
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
73392012
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
9532013
Deep convolutional neural networks for LVCSR
TN Sainath, A Mohamed, B Kingsbury, B Ramabhadran
2013 IEEE international conference on acoustics, speech and signal …, 2013
8162013
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
6882015
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
3722013
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
3642018
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
3352015
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
3212015
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
3122011
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
2442012
Convolutional neural networks for small-footprint keyword spotting
TN Sainath, C Parada
Sixteenth Annual Conference of the International Speech Communication …, 2015
2132015
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
2042011
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
1972012
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
1832013
Auto-encoder bottleneck features using deep belief networks
TN Sainath, B Kingsbury, B Ramabhadran
2012 IEEE international conference on acoustics, speech and signal …, 2012
1772012
Structured transforms for small-footprint deep learning
V Sindhwani, T Sainath, S Kumar
Advances in Neural Information Processing Systems, 3088-3096, 2015
1432015
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
1362013
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
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
1112017
Query-by-example keyword spotting using long short-term memory networks
G Chen, C Parada, TN Sainath
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
972015
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20