Kaisheng Yao
Title
Cited by
Cited by
Year
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
6342013
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
4072014
An introduction to computational networks and the computational network toolkit
D Yu, A Eversole, M Seltzer, K Yao, Z Huang, B Guenter, O Kuchaiev, ...
Microsoft Technical Report MSR-TR-2014–112, 2014
3962014
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
3702013
Recurrent neural networks for language understanding.
K Yao, G Zweig, MY Hwang, Y Shi, D Yu
Interspeech, 2524-2528, 2013
2682013
Spoken language understanding using long short-term memory neural networks
K Yao, B Peng, Y Zhang, D Yu, G Zweig, Y Shi
2014 IEEE Spoken Language Technology Workshop (SLT), 189-194, 2014
2312014
Highway long short-term memory rnns for distant speech recognition
Y Zhang, G Chen, D Yu, K Yaco, S Khudanpur, J Glass
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
2282016
Adaptation of context-dependent deep neural networks for automatic speech recognition
K Yao, D Yu, F Seide, H Su, L Deng, Y Gong
2012 IEEE Spoken Language Technology Workshop (SLT), 366-369, 2012
2142012
System and method for text-to-phoneme mapping with prior knowledge
K Yao
US Patent App. 11/278,497, 2007
1362007
Incorporating structural alignment biases into an attentional neural translation model
T Cohn, CDV Hoang, E Vymolova, K Yao, C Dyer, G Haffari
arXiv preprint arXiv:1601.01085, 2016
1302016
Sequence-to-sequence neural net models for grapheme-to-phoneme conversion
K Yao, G Zweig
arXiv preprint arXiv:1506.00196, 2015
1192015
Recurrent conditional random field for language understanding
K Yao, B Peng, G Zweig, D Yu, X Li, F Gao
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
1052014
Attention with intention for a neural network conversation model
K Yao, G Zweig, B Peng
arXiv preprint arXiv:1510.08565, 2015
992015
Assignment of semantic labels to a sequence of words using neural network architectures
A Deoras, K Yao, X He, L Deng, GG Zweig, R Sarikaya, D Yu, MY Hwang, ...
US Patent App. 14/016,186, 2015
772015
Depth-gated LSTM
K Yao, T Cohn, K Vylomova, K Duh, C Dyer
arXiv preprint arXiv:1508.03790, 2015
652015
Conservatively adapting a deep neural network in a recognition system
D Yu, K Yao, H Su, G Li, F Seide
US Patent 9,177,550, 2015
552015
Contextual spoken language understanding using recurrent neural networks
Y Shi, K Yao, H Chen, YC Pan, MY Hwang, B Peng
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
542015
Depth-gated recurrent neural networks
K Yao, T Cohn, K Vylomova, K Duh, C Dyer
arXiv preprint arXiv:1508.03790 9, 2015
492015
A basis representation of constrained MLLR transforms for robust adaptation
D Povey, K Yao
Computer Speech & Language 26 (1), 35-51, 2012
432012
Sequential noise compensation by sequential Monte Carlo method
K Yao, S Nakamura
Advances in Neural Information Processing Systems, 1205-1212, 2002
362002
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