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Yongqiang Wang
Yongqiang Wang
Research Scientist, Google
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
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
7122013
CNTK: Microsoft's open-source deep-learning toolkit
F Seide, A Agarwal
Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016
4922016
Towards end-to-end spoken language understanding
D Serdyuk, Y Wang, C Fuegen, A Kumar, B Liu, Y Bengio
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
1672018
Transformer-based acoustic modeling for hybrid speech recognition
Y Wang, A Mohamed, D Le, C Liu, A Xiao, J Mahadeokar, H Huang, ...
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
1432020
Efficient lattice rescoring using recurrent neural network language models
X Liu, Y Wang, X Chen, MJF Gales, PC Woodland
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
992014
Simplifying long short-term memory acoustic models for fast training and decoding
Y Miao, J Li, Y Wang, SX Zhang, Y Gong
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
832016
Transformer-transducer: End-to-end speech recognition with self-attention
CF Yeh, J Mahadeokar, K Kalgaonkar, Y Wang, D Le, M Jain, K Schubert, ...
arXiv preprint arXiv:1910.12977, 2019
822019
Adaptation of deep neural network acoustic models using factorised i-vectors.
P Karanasou, Y Wang, MJF Gales, PC Woodland
Interspeech 2014, 2180-2184, 2014
782014
Efficient GPU-based training of recurrent neural network language models using spliced sentence bunch
X Chen, Y Wang, X Liu, MJF Gales, PC Woodland
Fifteenth Annual Conference of the International Speech Communication …, 2014
752014
Speaker and noise factorization for robust speech recognition
Y Wang, MJF Gales
IEEE Transactions on Audio, Speech, and Language Processing 20 (7), 2149-2158, 2012
582012
Investigations on speaker adaptation of LSTM RNN models for speech recognition
C Liu, Y Wang, K Kumar, Y Gong
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
462016
Emformer: Efficient memory transformer based acoustic model for low latency streaming speech recognition
Y Shi, Y Wang, C Wu, CF Yeh, J Chan, F Zhang, D Le, M Seltzer
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
452021
Small-footprint high-performance deep neural network-based speech recognition using split-VQ
Y Wang, J Li, Y Gong
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
432015
Streaming Transformer-based Acoustic Models Using Self-attention with Augmented Memory
C Wu, Y Wang, Y Shi, CF Yeh, F Zhang
arXiv preprint arXiv:2005.08042, 2020
312020
Speaker and noise factorisation on the AURORA4 task
YQ Wang, MJF Gales
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International …, 2011
292011
Model-based approaches to handling additive noise in reverberant environments
MJF Gales, YQ Wang
Hands-free Speech Communication and Microphone Arrays (HSCMA), 2011 Joint …, 2011
282011
End-to-end contextual speech recognition using class language models and a token passing decoder
Z Chen, M Jain, Y Wang, ML Seltzer, C Fuegen
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
262019
Semi-Supervised Training in Deep Learning Acoustic Model.
Y Huang, Y Wang, Y Gong
Interspeech, 3848-3852, 2016
222016
Faster, simpler and more accurate hybrid asr systems using wordpieces
F Zhang, Y Wang, X Zhang, C Liu, Y Saraf, G Zweig
arXiv preprint arXiv:2005.09150, 2020
202020
Sample-separation-margin based minimum classification error training of pattern classifiers with quadratic discriminant functions
Y Wang, Q Huo
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International …, 2010
202010
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