Bo Wu
Bo Wu
Senior Researcher, Tencent AI Lab, Shenzhen, China
Verified email at
Cited by
Cited by
A reverberation-time-aware approach to speech dereverberation based on deep neural networks
B Wu, K Li, M Yang, CH Lee
IEEE/ACM transactions on audio, speech, and language processing 25 (1), 102-111, 2016
Audio-Visual Recognition of Overlapped speech for the LRS2 dataset
DY Jianwei Yu, Shixiong Zhang, Jian Wu, Shahram Ghorbani, Bo Wu, Shiyin Kang ...
ICASSP 2020, 2020
An end-to-end deep learning approach to simultaneous speech dereverberation and acoustic modeling for robust speech recognition
B Wu, K Li, F Ge, Z Huang, M Yang, SM Siniscalchi, CH Lee
IEEE Journal of Selected Topics in Signal Processing 11 (8), 1289-1300, 2017
Improving Reverberant Speech Training Using Diffuse Acoustic Simulation
DM Zhenyu Tang, Lianwu Chen, Bo Wu, Dong Yu
ICASSP 2020, 2020
Audio-Visual Multi-Channel Integration and Recognition of Overlapped Speech
J Yu, SX Zhang, B Wu, S Liu, S Hu, M Geng, X Liu, H Meng, D Yu
IEEE/ACM Transactions on Audio, Speech, and Language, 2020
End-to-End Multi-Look Keyword Spotting
M Yu, X Ji, B Wu, D Su, D Yu
Interspeech 2020, 2020
Audio-Visual Multi-Channel Recognition of Overlapped Speech
J Yu, B Wu, RGSXZLC Yu, YX Meng, D Su, D Yu, X Liu, H Meng
Interspeech 2020, 2020
A study on target feature activation and normalization and their impacts on the performance of DNN based speech dereverberation systems
B Wu, K Li, M Yang, CH Lee
APSIPA 2016, 1-4, 2016
A reverberation-time-aware DNN approach leveraging spatial information for microphone array dereverberation
B Wu, M Yang, K Li, Z Huang, SM Siniscalchi, T Wang, CH Lee
EURASIP Journal on Advances in Signal Processing 2017, 1-13, 2017
An Iterative Phase Recovery Framework with Phase Mask for Spectral Mapping with an Application to Speech Enhancement.
K Li, B Wu, CH Lee
Interspeech 2016, 3773-3777, 2016
TeCANet: Temporal-contextual attention network for environment-aware speech dereverberation
H Wang, B Wu, L Chen, M Yu, J Yu, Y Xu, SX Zhang, C Weng, D Su, D Yu
Interspeech 2021, 2021
A unified deep modeling approach to simultaneous speech dereverberation and recognition for the REVERB challenge
B Wu, K Li, Z Huang, SM Siniscalchi, M Yang, CH Lee
HSCMA 2017, 36-40, 2017
WPD++: An Improved Neural Beamformer for Simultaneous Speech Separation and Dereverberation
Z Ni, Y Xu, M Yu, B Wu, S Zhang, D Yu, MI Mandel
SLT 2021, 817-824, 2021
A Joint Training Framework of Multi-Look Separator and Speaker Embedding Extractor for Overlapped Speech
N Zheng, N Li, B Wu, M Yu, JW Yu, C Weng, D Su, XY Liu, H Meng
ICASSP 2021, 2021
Improving Speech Enhancement with Phonetic Embedding Features
DY B Wu, Meng Yu, Lianwu Chen, Mingjie Jin, Dan Su
ASRU 2019, 2019
Distortionless multi-channel target speech enhancement for overlapped speech recognition
B Wu, M Yu, L Chen, Y Xu, C Weng, D Su, D Yu
arXiv preprint arXiv:2007.01566, 2020
Joint Training of Multi-Channel-Condition Dereverberation and Acoustic Modeling of Microphone Array Speech for Robust Distant Speech Recognition.
F Ge, K Li, B Wu, SM Siniscalchi, Y Yan, CH Lee
Interspeech 2017, 3847-3851, 2017
A study on sampling of STFT modifications in time and frequency domains for DNN-based speech dereverberation
B Wu, K Li, M Yang, CH Lee
APSIPA 2016, 1-4, 2016
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