| 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 | 108 | 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 | 104* | 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 | 89 | 2017 |
| Improving Reverberant Speech Training Using Diffuse Acoustic Simulation DM Zhenyu Tang, Lianwu Chen, Bo Wu, Dong Yu ICASSP 2020, 2020 | 42* | 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 | 26 | 2020 |
| End-to-End Multi-Look Keyword Spotting M Yu, X Ji, B Wu, D Su, D Yu Interspeech 2020, 2020 | 23 | 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 | 21 | 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 | 18 | 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 | 11 | 2017 |
| 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 | 10 | 2021 |
| 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 | 10 | 2016 |
| 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 | 8 | 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 | 8 | 2017 |
| 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 | 4 | 2021 |
| Improving Speech Enhancement with Phonetic Embedding Features DY B Wu, Meng Yu, Lianwu Chen, Mingjie Jin, Dan Su ASRU 2019, 2019 | 3* | 2019 |
| 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 | 3 | 2016 |
| 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 | 2 | 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 | 2 | 2017 |
Chin-Hui LeeProfessor of School of Electrical and Computer Engineering, Georgia TechVahvistettu sähköpostiosoite verkkotunnuksessa ece.gatech.edu
