| 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 | 9469 | 2012 |
| Towards end-to-end speech recognition with recurrent neural networks A Graves, N Jaitly International conference on machine learning, 1764-1772, 2014 | 1917 | 2014 |
| Adversarial autoencoders A Makhzani, J Shlens, N Jaitly, I Goodfellow, B Frey arXiv preprint arXiv:1511.05644, 2015 | 1662 | 2015 |
| Pointer networks O Vinyals, M Fortunato, N Jaitly arXiv preprint arXiv:1506.03134, 2015 | 1662 | 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 | 1640* | 2016 |
| 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 | 1343 | 2013 |
| Scheduled sampling for sequence prediction with recurrent neural networks S Bengio, O Vinyals, N Jaitly, N Shazeer arXiv preprint arXiv:1506.03099, 2015 | 1199 | 2015 |
| 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 | 922* | 2017 |
| 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 | 892 | 2018 |
| 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 | 708 | 2018 |
| A simple way to initialize recurrent networks of rectified linear units QV Le, N Jaitly, GE Hinton arXiv preprint arXiv:1504.00941, 2015 | 568 | 2015 |
| 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 | 377 | 2008 |
| 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 | 370 | 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 | 322* | 2012 |
| Application of pretrained deep neural networks to large vocabulary speech recognition N Jaitly, P Nguyen, A Senior, V Vanhoucke | 322 | 2012 |
| Vocal Tract Length Perturbation (VTLP) improves speech recognition N Jaitly, GE Hinton International Conference on Machine Learning (ICML), 2013 | 255 | 2013 |
| Multi-task neural networks for QSAR predictions GE Dahl, N Jaitly, R Salakhutdinov arXiv preprint arXiv:1406.1231, 2014 | 246 | 2014 |
| Decon2LS: An open-source software package for automated processing and visualization of high resolution mass spectrometry data N Jaitly, A Mayampurath, K Littlefield, JN Adkins, GA Anderson, RD Smith BMC bioinformatics 10 (1), 1-15, 2009 | 235 | 2009 |
| 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 | 221 | 2011 |
| VIPER: an advanced software package to support high-throughput LC-MS peptide identification ME Monroe, N Tolić, N Jaitly, JL Shaw, JN Adkins, RD Smith Bioinformatics 23 (15), 2021-2023, 2007 | 217 | 2007 |
Geoffrey HintonEmeritus Prof. Comp Sci, U.Toronto & Engineering Fellow, GoogleVerified email at cs.toronto.edu
