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Yongqiang Wang
Yongqiang Wang
Research Scientist, Google
在 google.com 的电子邮件经过验证 - 首页
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引用次数
引用次数
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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
8042013
CNTK: Microsoft's open-source deep-learning toolkit
F Seide, A Agarwal
Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016
6372016
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
2632018
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
2552020
Google usm: Scaling automatic speech recognition beyond 100 languages
Y Zhang, W Han, J Qin, Y Wang, A Bapna, Z Chen, N Chen, B Li, ...
arXiv preprint arXiv:2303.01037, 2023
2002023
Bigssl: Exploring the frontier of large-scale semi-supervised learning for automatic speech recognition
Y Zhang, DS Park, W Han, J Qin, A Gulati, J Shor, A Jansen, Y Xu, ...
IEEE Journal of Selected Topics in Signal Processing 16 (6), 1519-1532, 2022
1712022
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
1702019
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
1662021
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
1132014
Audiopalm: A large language model that can speak and listen
PK Rubenstein, C Asawaroengchai, DD Nguyen, A Bapna, Z Borsos, ...
arXiv preprint arXiv:2306.12925, 2023
1112023
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
1002016
Adaptation of deep neural network acoustic models using factorised i-vectors.
P Karanasou, Y Wang, MJF Gales, PC Woodland
Interspeech 2014, 2180-2184, 2014
832014
Efficient GPU-based training of recurrent neural network language models using spliced sentence bunch.
X Chen, Y Wang, X Liu, MJF Gales, PC Woodland
Interspeech 14, 641-645, 2014
822014
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
672020
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
612012
Joint Grapheme and Phoneme Embeddings for Contextual End-to-End ASR.
Z Chen, M Jain, Y Wang, ML Seltzer, C Fuegen
Interspeech, 3490-3494, 2019
562019
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
542019
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
542016
Deja-vu: Double feature presentation and iterated loss in deep transformer networks
A Tjandra, C Liu, F Zhang, X Zhang, Y Wang, G Synnaeve, S Nakamura, ...
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
482020
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
482015
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