Follow
Dong Yu (俞栋)
Dong Yu (俞栋)
Distinguished Scientist @ Tencent AI Lab, ACM/IEEE/ISCA Fellow
Verified email at global.tencent.com - Homepage
Title
Cited by
Cited by
Year
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
132212012
Deep learning: methods and applications
L Deng, D Yu
Foundations and trends® in signal processing 7 (3–4), 197-387, 2014
56672014
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
38752012
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
26912014
Automatic Speech Recognition - A Deep Learning Approach
D Yu, L Deng
Springer, 2015
1518*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
11382011
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
10252014
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
10142013
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
9292018
Speech emotion recognition using deep neural network and extreme learning machine
K Han, D Yu, I Tashev
Interspeech 2014, 2014
9222014
Permutation invariant training of deep models for speaker-independent multi-talker speech separation
D Yu, M Kolbęk, ZH Tan, J Jensen
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
8862017
Multitalker speech separation with utterance-level permutation invariant training of deep recurrent neural networks
M Kolbęk, D Yu, ZH Tan, J Jensen
IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (10 …, 2017
8462017
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
7872013
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
7742011
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
7572013
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
7482014
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
6962016
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
6282010
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
6092013
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
5152013
The system can't perform the operation now. Try again later.
Articles 1–20