Seuraa
Guangsen Wang
Guangsen Wang
Tencent AI Lab
Vahvistettu sähköpostiosoite verkkotunnuksessa tencent.com
Nimike
Viittaukset
Viittaukset
Vuosi
The RedDots data collection for speaker recognition
KA Lee, A Larcher, G Wang, P Kenny, N Brümmer, D Van Leeuwen, ...
Interspeech 2015, 2015
1802015
Component fusion: Learning replaceable language model component for end-to-end speech recognition system
C Shan, C Weng, G Wang, D Su, M Luo, D Yu, L Xie
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
992019
Investigating end-to-end speech recognition for mandarin-english code-switching
C Shan, C Weng, G Wang, D Su, M Luo, D Yu, L Xie
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
792019
Improving Attention Based Sequence-to-Sequence Models for End-to-End English Conversational Speech Recognition.
C Weng, J Cui, G Wang, J Wang, C Yu, D Su, D Yu
Interspeech, 761-765, 2018
612018
Speech-XLNet: Unsupervised acoustic model pretraining for self-attention networks
X Song, G Wang, Z Wu, Y Huang, D Su, D Yu, H Meng
arXiv preprint arXiv:1910.10387, 2019
572019
Adapt-and-adjust: Overcoming the long-tail problem of multilingual speech recognition
GI Winata, G Wang, C Xiong, S Hoi
arXiv preprint arXiv:2012.01687, 2020
482020
An investigation of phone-based subword units for end-to-end speech recognition
W Wang, G Wang, A Bhatnagar, Y Zhou, C Xiong, R Socher
arXiv preprint arXiv:2004.04290, 2020
462020
Sequential classification criteria for NNs in automatic speech recognition
G Wang, KC Sim
Twelfth Annual Conference of the International Speech Communication Association, 2011
342011
The 2015 NIST language recognition evaluation: the shared view of I2R, Fantastic4 and SingaMS
KA Lee, H Li, L Deng, V Hautamäki, W Rao, X Xiao, A Larcher, H Sun, ...
Interspeech 2016 2016, 3211-3215, 2016
292016
The I4U mega fusion and collaboration for NIST speaker recognition evaluation 2016
KA Lee, V Hautamäki, T Kinnunen, A Larcher, C Zhang, A Nautsch, ...
Interspeech, 1328-1332, 2017
272017
Regression-based context-dependent modeling of deep neural networks for speech recognition
G Wang, KC Sim
IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (11 …, 2014
232014
Improving attention-based end-to-end ASR systems with sequence-based loss functions
J Cui, C Weng, G Wang, J Wang, P Wang, C Yu, D Su, D Yu
2018 IEEE Spoken Language Technology Workshop (SLT), 353-360, 2018
152018
Joint Speaker and Lexical Modeling for Short-Term Characterization of Speaker.
G Wang, KA Lee, TH Nguyen, H Sun, B Ma
Interspeech, 415-419, 2016
142016
An investigation of tied-mixture GMM based triphone state clustering
G Wang, KC Sim
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
102012
Context-dependent modelling of deep neural network using logistic regression
G Wang, KC Sim
2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 338-343, 2013
92013
A two-stage multi-feature integration approach to unsupervised speaker change detection in real-time news broadcasting
L Xie, G Wang
2008 6th International Symposium on Chinese Spoken Language Processing, 1-4, 2008
62008
I2R Submission to the 2015 NIST Language Recognition I-vector Challenge.
H Sun, TH Nguyen, G Wang, KA Lee, B Ma, H Li
Odyssey, 311-318, 2016
52016
The reddots platform for mobile crowd-sourcing of speech data.
KA Lee, G Wang, KP Ng, H Sun, TH Nguyen, NTH Thai, B Ma, H Li
INTERSPEECH, 2603-2604, 2015
52015
Context dependent acoustic keyword spotting using deep neural network
G Wang, KC Sim
2013 Asia-Pacific Signal and Information Processing Association Annual …, 2013
52013
A random gossip BMUF process for neural language modeling
Y Huang, J Tian, L Han, G Wang, X Song, D Su, D Yu
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
32020
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