Bo Wu

Orcid: 0000-0002-3126-5103

Affiliations:
  • Tencent AI Lab, Bellevue, WA, USA
  • Xidian University, National Laboratory of Radar Signal Processing, Xi'an, China
  • Georgia Institute of Technology, Center for Signal and Information Processing, Atlanta, GA, USA (2014 - 2016)


According to our database1, Bo Wu authored at least 17 papers between 2016 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2016
2017
2018
2019
2020
2021
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
Audio-Visual Multi-Channel Integration and Recognition of Overlapped Speech.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

WPD++: An Improved Neural Beamformer for Simultaneous Speech Separation and Dereverberation.
Proceedings of the IEEE Spoken Language Technology Workshop, 2021

TeCANet: Temporal-Contextual Attention Network for Environment-Aware Speech Dereverberation.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

A Joint Training Framework of Multi-Look Separator and Speaker Embedding Extractor for Overlapped Speech.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Audio-Visual Multi-Channel Recognition of Overlapped Speech.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

End-to-End Multi-Look Keyword Spotting.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Audio-Visual Recognition of Overlapped Speech for the LRS2 Dataset.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Improving Reverberant Speech Training Using Diffuse Acoustic Simulation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Improving Speech Enhancement with Phonetic Embedding Features.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

2017
A Reverberation-Time-Aware Approach to Speech Dereverberation Based on Deep Neural Networks.
IEEE ACM Trans. Audio Speech Lang. Process., 2017

An End-to-End Deep Learning Approach to Simultaneous Speech Dereverberation and Acoustic Modeling for Robust Speech Recognition.
IEEE J. Sel. Top. Signal Process., 2017

A reverberation-time-aware DNN approach leveraging spatial information for microphone array dereverberation.
EURASIP J. Adv. Signal Process., 2017

Joint Training of Multi-Channel-Condition Dereverberation and Acoustic Modeling of Microphone Array Speech for Robust Distant Speech Recognition.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

A unified deep modeling approach to simultaneous speech dereverberation and recognition for the reverb challenge.
Proceedings of the Hands-free Speech Communications and Microphone Arrays, 2017

2016
An Iterative Phase Recovery Framework with Phase Mask for Spectral Mapping with an Application to Speech Enhancement.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

A study on sampling of STFT modifications in time and frequency domains for DNN-based speech dereverberation.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2016

A study on target feature activation and normalization and their impacts on the performance of DNN based speech dereverberation systems.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2016


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