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Yongqiang Wang 0006
Person information
- affiliation: University of Cambridge, Department of Engineering, UK
- affiliation: Microsoft Corporation, Redmond, WA, USA
Other persons with the same name
- Yongqiang Wang — disambiguation page
- Yongqiang Wang 0001
— Clemson University, Department of Electrical and Computer Engineering, USA (and 3 more)
- Yongqiang Wang 0002
- Yongqiang Wang 0003
- Yongqiang Wang 0004 — Northwest University, School of Information Science and Technology, Xi'an, Shaanxi, China
- Yongqiang Wang 0005 — Facebook AI, One Hacker Way, Menlo Park, CA, USA
- Yongqiang Wang 0007
- Yongqiang Wang 0008 — Microsoft Research Asia, Beijing, China (and 1 more)
- Yongqiang Wang 0009 — University of Maryland, Department of Electrical and Computer Engineering, Institute of Systems Research, MA, USA
- Yongqiang Wang 0010 — Tsinghua University, Department of Automation, TNList, Beijing, China
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2010 – 2019
- 2018
- [c9]Anton Ragni, Qiujia Li, Mark J. F. Gales, Yongqiang Wang:
Confidence Estimation and Deletion Prediction Using Bidirectional Recurrent Neural Networks. SLT 2018: 204-211 - 2016
- [j3]Xunying Liu
Two Efficient Lattice Rescoring Methods Using Recurrent Neural Network Language Models. IEEE ACM Trans. Audio Speech Lang. Process. 24(8): 1438-1449 (2016) - [j2]Xie Chen, Xunying Liu, Yongqiang Wang, Mark J. F. Gales, Philip C. Woodland:
Efficient Training and Evaluation of Recurrent Neural Network Language Models for Automatic Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 24(11): 2146-2157 (2016) - 2014
- [c8]Xunying Liu, Yongqiang Wang, Xie Chen, Mark J. F. Gales, Philip C. Woodland:
Efficient lattice rescoring using recurrent neural network language models. ICASSP 2014: 4908-4912 - [c7]Xie Chen, Yongqiang Wang, Xunying Liu, Mark J. F. Gales, Philip C. Woodland:
Efficient GPU-based training of recurrent neural network language models using spliced sentence bunch. INTERSPEECH 2014: 641-645 - [c6]Penny Karanasou, Yongqiang Wang, Mark J. F. Gales, Philip C. Woodland:
Adaptation of deep neural network acoustic models using factorised i-vectors. INTERSPEECH 2014: 2180-2184 - 2013
- [c5]Yongqiang Wang, Mark J. F. Gales:
Tandem system adaptation using multiple linear feature transforms. ICASSP 2013: 7932-7936 - [c4]Yongqiang Wang, Mark J. F. Gales:
An explicit independence constraint for factorised adaptation in speech recognition. INTERSPEECH 2013: 1233-1237 - 2012
- [j1]Yongqiang Wang, Mark J. F. Gales:
Speaker and Noise Factorization for Robust Speech Recognition. IEEE Trans. Speech Audio Process. 20(7): 2149-2158 (2012) - [c3]Yongqiang Wang, Mark J. F. Gales:
Model-based approaches to adaptive training in reverberant environments. INTERSPEECH 2012: 1195-1198 - 2011
- [c2]Yongqiang Wang, Mark J. F. Gales:
Improving reverberant VTS for hands-free robust speech recognition. ASRU 2011: 113-118 - [c1]Yongqiang Wang, Mark J. F. Gales:
Speaker and noise factorisation on the AURORA4 task. ICASSP 2011: 4584-4587
Coauthor Index
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