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 | 13535 | 2012 |
Deep learning: methods and applications L Deng, D Yu Foundations and trends® in signal processing 7 (3–4), 197-387, 2014 | 5869 | 2014 |
Context-Dependent Pre-trained Deep Neural Networks for Large Vocabulary Speech Recognition G Dahl, D Yu, L Deng, A Acero Audio, Speech, and Language Processing, IEEE Transactions on 20 (1), 30 - 42, 2012 | 3925 | 2012 |
Convolutional neural networks for speech recognition O Abdel-Hamid, A Mohamed, H Jiang, L Deng, G Penn, D Yu IEEE/ACM Transactions on audio, speech, and language processing 22 (10 …, 2014 | 2782 | 2014 |
Automatic Speech Recognition - A Deep Learning Approach D Yu, L Deng Springer, 2015 | 1578* | 2015 |
Conversational speech transcription using context-dependent deep neural networks F Seide, G Li, D Yu Twelfth annual conference of the international speech communication association, 2011 | 1148 | 2011 |
1-bit stochastic gradient descent and its application to data-parallel distributed training of speech dnns F Seide, H Fu, J Droppo, G Li, D Yu Fifteenth annual conference of the international speech communication …, 2014 | 1063 | 2014 |
Recent advances in deep learning for speech research at Microsoft L Deng, J Li, JT Huang, K Yao, D Yu, F Seide, M Seltzer, G Zweig, X He, ... 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 1033 | 2013 |
Speech emotion recognition using deep neural network and extreme learning machine K Han, D Yu, I Tashev Interspeech 2014, 2014 | 952 | 2014 |
The Microsoft 2017 conversational speech recognition system W Xiong, L Wu, F Alleva, J Droppo, X Huang, A Stolcke 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 949 | 2018 |
Permutation invariant training of deep models for speaker-independent multi-talker speech separation D Yu, M Kolbæk, ZH Tan, J Jensen 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 921 | 2017 |
Multitalker speech separation with utterance-level permutation invariant training of deep recurrent neural networks M Kolbæk, D Yu, ZH Tan, J Jensen IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (10 …, 2017 | 872 | 2017 |
An investigation of deep neural networks for noise robust speech recognition ML Seltzer, D Yu, Y Wang 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 802 | 2013 |
Feature engineering in context-dependent deep neural networks for conversational speech transcription F Seide, G Li, X Chen, D Yu 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 24-29, 2011 | 779 | 2011 |
Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers JT Huang, J Li, D Yu, L Deng, Y Gong 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 767 | 2013 |
Using recurrent neural networks for slot filling in spoken language understanding G Mesnil, Y Dauphin, K Yao, Y Bengio, L Deng, D Hakkani-Tur, X He, ... IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (3), 530-539, 2014 | 760 | 2014 |
Achieving human parity in conversational speech recognition W Xiong, J Droppo, X Huang, F Seide, M Seltzer, A Stolcke, D Yu, ... arXiv preprint arXiv:1610.05256, 2016 | 710 | 2016 |
Deep learning and its applications to signal and information processing [exploratory dsp] D Yu, L Deng IEEE Signal Processing Magazine 28 (1), 145-154, 2010 | 636 | 2010 |
Large-scale malware classification using random projections and neural networks GE Dahl, JW Stokes, L Deng, D Yu 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 622 | 2013 |
KL-divergence regularized deep neural network adaptation for improved large vocabulary speech recognition D Yu, K Yao, H Su, G Li, F Seide 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 518 | 2013 |