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Navdeep Jaitly
Navdeep Jaitly
Research Scientist, Apple Machine Learning Research
Adresă de e-mail confirmată pe cs.toronto.edu - Pagina de pornire
Titlu
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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
126082012
Pointer networks
O Vinyals, M Fortunato, N Jaitly
Advances in neural information processing systems 28, 2015
31252015
Adversarial autoencoders
A Makhzani, J Shlens, N Jaitly, I Goodfellow, B Frey
arXiv preprint arXiv:1511.05644, 2015
29242015
Listen, attend and spell: A neural network for large vocabulary conversational speech recognition
W Chan, N Jaitly, Q Le, O Vinyals
2016 IEEE international conference on acoustics, speech and signal …, 2016
2905*2016
Towards end-to-end speech recognition with recurrent neural networks
A Graves, N Jaitly
International conference on machine learning, 1764-1772, 2014
27542014
Natural tts synthesis by conditioning wavenet on mel spectrogram predictions
J Shen, R Pang, RJ Weiss, M Schuster, N Jaitly, Z Yang, Z Chen, Y Zhang, ...
2018 IEEE international conference on acoustics, speech and signal …, 2018
26352018
Hybrid speech recognition with deep bidirectional LSTM
A Graves, N Jaitly, A Mohamed
2013 IEEE workshop on automatic speech recognition and understanding, 273-278, 2013
20622013
Tacotron: Towards end-to-end speech synthesis
Y Wang, RJ Skerry-Ryan, D Stanton, Y Wu, RJ Weiss, N Jaitly, Z Yang, ...
arXiv preprint arXiv:1703.10135, 2017
2054*2017
Scheduled sampling for sequence prediction with recurrent neural networks
S Bengio, O Vinyals, N Jaitly, N Shazeer
Advances in neural information processing systems 28, 2015
20092015
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
13192018
A simple way to initialize recurrent networks of rectified linear units
QV Le, N Jaitly, GE Hinton
arXiv preprint arXiv:1504.00941, 2015
8002015
Very deep convolutional networks for end-to-end speech recognition
Y Zhang, W Chan, N Jaitly
2017 IEEE international conference on acoustics, speech and signal …, 2017
5212017
Vocal Tract Length Perturbation (VTLP) improves speech recognition
N Jaitly, GE Hinton
International Conference on Machine Learning (ICML), 2013
4622013
DAnTE: a statistical tool for quantitative analysis of-omics data
AD Polpitiya, WJ Qian, N Jaitly, VA Petyuk, JN Adkins, DG Camp, ...
Bioinformatics 24 (13), 1556-1558, 2008
4512008
Towards better decoding and language model integration in sequence to sequence models
J Chorowski, N Jaitly
arXiv preprint arXiv:1612.02695, 2016
3832016
Multi-task neural networks for QSAR predictions
GE Dahl, N Jaitly, R Salakhutdinov
arXiv preprint arXiv:1406.1231, 2014
3732014
Sequence-to-sequence models can directly translate foreign speech
RJ Weiss, J Chorowski, N Jaitly, Y Wu, Z Chen
arXiv preprint arXiv:1703.08581, 2017
3572017
An Application OF Pretrained Deep Neural Networks To Large Vocabulary Conversational Speech Recognition
N Jaitly, P Nguyen, A Senior, V Vanhoucke
Tech. Rep. 001, Department of Computer Science, University of Toronto, 2012
351*2012
Application of pretrained deep neural networks to large vocabulary speech recognition
N Jaitly, P Nguyen, A Senior, V Vanhoucke
3512012
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
3462017
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