Hui Jiang
Hui Jiang
Professor of Electrical Engineering and Computer Science, York University
Verified email at cse.yorku.ca - Homepage
Title
Cited by
Cited by
Year
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
13192014
Applying convolutional neural networks concepts to hybrid NN-HMM model for speech recognition
O Abdel-Hamid, A Mohamed, H Jiang, G Penn
2012 IEEE international conference on Acoustics, speech and signal …, 2012
8252012
Confidence measures for speech recognition: A survey
H Jiang
Speech communication 45 (4), 455-470, 2005
4662005
Enhanced lstm for natural language inference
Q Chen, X Zhu, ZH Ling, S Wei, H Jiang, D Inkpen
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
4612017
Fast speaker adaptation of hybrid NN/HMM model for speech recognition based on discriminative learning of speaker code
O Abdel-Hamid, H Jiang
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
2092013
Generating images with recurrent adversarial networks
DJ Im, CD Kim, H Jiang, R Memisevic
arXiv preprint arXiv:1602.05110, 2016
1712016
Large margin hidden Markov models for speech recognition
H Jiang, X Li, C Liu
IEEE transactions on audio, speech, and language processing 14 (5), 1584-1595, 2006
1572006
Fast adaptation of deep neural network based on discriminant codes for speech recognition
S Xue, O Abdel-Hamid, H Jiang, L Dai, Q Liu
IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (12 …, 2014
1312014
Learning semantic word embeddings based on ordinal knowledge constraints
Q Liu, H Jiang, S Wei, ZH Ling, Y Hu
Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015
1192015
A Bayesian predictive classification approach to robust speech recognition
Q Huo, CH Lee
IEEE transactions on speech and audio processing 8 (2), 200-204, 2000
1122000
Distraction-Based Neural Networks for Modeling Document.
Q Chen, XD Zhu, ZH Ling, S Wei, H Jiang
IJCAI, 2754-2760, 2016
106*2016
Discriminative training of language models for speech recognition
HKJ Kuo, E Fosle-Lussier, H Jiang, CH Lee
Acoustics, Speech, and Signal Processing, 2002. ICASSP-02., 2002 IEEE …, 2002
1032002
Discriminative training of HMMs for automatic speech recognition: A survey
H Jiang
Computer Speech & Language 24 (4), 589-608, 2010
1022010
Investigation of deep neural networks (DNN) for large vocabulary continuous speech recognition: Why DNN surpasses GMMs in acoustic modeling
J Pan, C Liu, Z Wang, Y Hu, H Jiang
2012 8th International Symposium on Chinese Spoken Language Processing, 301-305, 2012
972012
Enhancing and Combining Sequential and Tree LSTM for Natural Language Inference
Q Chen, X Zhu, Z Ling, S Wei, H Jiang
arXiv preprint arXiv:1609.06038, 2016
812016
Robust speech recognition based on a Bayesian prediction approach
H Jiang, K Hirose, Q Huo
IEEE transactions on speech and audio processing 7 (4), 426-440, 1999
761999
Recurrent neural network-based sentence encoder with gated attention for natural language inference
Q Chen, X Zhu, ZH Ling, S Wei, H Jiang, D Inkpen
arXiv preprint arXiv:1708.01353, 2017
722017
Large margin HMMs for speech recognition
X Li, H Jiang, C Liu
Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005
672005
Direct adaptation of hybrid DNN/HMM model for fast speaker adaptation in LVCSR based on speaker code
S Xue, O Abdel-Hamid, H Jiang, L Dai
2014 IEEE international conference on acoustics, speech and signal …, 2014
662014
The fixed-size ordinally-forgetting encoding method for neural network language models
S Zhang, H Jiang, M Xu, J Hou, L Dai
Proceedings of ACL, 2015
612015
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