| 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 | 13941 | 2012 |
| Pointer networks O Vinyals, M Fortunato, N Jaitly Advances in neural information processing systems 28, 2015 | 3750 | 2015 |
| Adversarial autoencoders A Makhzani, J Shlens, N Jaitly, I Goodfellow, B Frey arXiv preprint arXiv:1511.05644, 2015 | 3389 | 2015 |
| 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 | 3331* | 2016 |
| 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 | 3251 | 2018 |
| Towards end-to-end speech recognition with recurrent neural networks A Graves, N Jaitly International conference on machine learning, 1764-1772, 2014 | 3019 | 2014 |
| 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 | 2457* | 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 | 2363 | 2015 |
| 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 | 2310 | 2013 |
| 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 | 1458 | 2018 |
| A simple way to initialize recurrent networks of rectified linear units QV Le, N Jaitly, GE Hinton arXiv preprint arXiv:1504.00941, 2015 | 905 | 2015 |
| 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 | 562 | 2017 |
| Vocal Tract Length Perturbation (VTLP) improves speech recognition N Jaitly, GE Hinton International Conference on Machine Learning (ICML), 2013 | 525 | 2013 |
| 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 | 477 | 2008 |
| Towards better decoding and language model integration in sequence to sequence models J Chorowski, N Jaitly arXiv preprint arXiv:1612.02695, 2016 | 433 | 2016 |
| 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 | 415 | 2017 |
| Multi-task neural networks for QSAR predictions GE Dahl, N Jaitly, R Salakhutdinov arXiv preprint arXiv:1406.1231, 2014 | 398 | 2014 |
| 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 | 392 | 2017 |
| 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 | 363* | 2012 |
| Learning a better representation of speech soundwaves using restricted boltzmann machines N Jaitly, G Hinton Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International …, 2011 | 288 | 2011 |
Quoc V. LeResearch Scientist, Google在 stanford.edu 的电子邮件经过验证
