| End-to-end attention based text-dependent speaker verification SX Zhang, Z Chen, Y Zhao, J Li, Y Gong 2016 IEEE Spoken Language Technology Workshop (SLT), 171-178, 2016 | 192 | 2016 |
| An overview of deep-learning-based audio-visual speech enhancement and separation D Michelsanti, ZH Tan, SX Zhang, Y Xu, M Yu, D Yu, J Jensen IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 1368-1396, 2021 | 137 | 2021 |
| Investigation of Multilingual Deep Neural Networks for Spoken Term Detection K Knill, MJF Gales, S Rath, P Woodland, SX Zhang ASRU, 2013 | 103 | 2013 |
| SIMPLIFYING LONG SHORT-TERM MEMORY ACOUSTIC MODELS FOR FAST TRAINING AND DECODING Y Miao, J Li, Y Wang, S Zhang, Y Gong ICASSP, 2016 | 90 | 2016 |
| Time Domain Audio Visual Speech Separation J Wu, Y Xu, SX Zhang, LW Chen, M Yu, L Xie, D Yu Automatic Speech Recognition and Understanding Workshop, ASRU 2019,, 2019 | 76 | 2019 |
| ADL-MVDR: All deep learning MVDR beamformer for target speech separation Z Zhang, Y Xu, M Yu, SX Zhang, L Chen, D Yu ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 75 | 2021 |
| A comprehensive study of speech separation: spectrogram vs waveform separation F Bahmaninezhad, J Wu, R Gu, SX Zhang, Y Xu, M Yu, D Yu arXiv preprint arXiv:1905.07497, 2019 | 74 | 2019 |
| Neural Spatial Filter: Target Speaker Speech Separation Assisted with Directional Information R Gu, L Chen, SX Zhang, J Zheng, Y Xu, M Yu, D Su, Y Zou, D Yu | 72 | 2019 |
| Multi-modal multi-channel target speech separation R Gu, SX Zhang, Y Xu, L Chen, Y Zou, D Yu IEEE Journal of Selected Topics in Signal Processing 14 (3), 530-541, 2020 | 71 | 2020 |
| Computerized intelligent assistant for conferences A Diamant, KM Ben-Dor, E Krupka, R Halaly, Y Smolin, I Gurvich, ... US Patent 10,867,610, 2020 | 67 | 2020 |
| Audio-visual Recognition of Overlapped speech for the LRS2 dataset J Yu, SX Zhang, J Wu, S Ghorbani, B Wu, S Kang, S Liu, X Liu, H Meng, ... ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 66 | 2020 |
| End-to-end multi-channel speech separation R Gu, J Wu, SX Zhang, L Chen, Y Xu, M Yu, D Su, Y Zou, D Yu arXiv preprint arXiv:1905.06286, 2019 | 66 | 2019 |
| New era for robust speech recognition: exploiting deep learning S Watanabe, M Delcroix, F Metze, JR Hershey, et al. Springer, 2017 | 54* | 2017 |
| Enhancing End-to-End Multi-Channel Speech Separation Via Spatial Feature Learning R Gu, SX Zhang, L Chen, Y Xu, M Yu, D Su, Y Zou, D Yu ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 47 | 2020 |
| Structured SVMs for automatic speech recognition SX Zhang, MJF Gales IEEE Transactions on Audio, Speech, and Language Processing 21 (3), 544-555, 2012 | 45 | 2012 |
| DEEP NEURAL SUPPORT VECTOR MACHINES FOR SPEECH RECOGNITION SX Zhang, C Liu, K Yao, Y Gong ICASSP 2015, 2015 | 42 | 2015 |
| Audio-visual speech separation and dereverberation with a two-stage multimodal network K Tan, Y Xu, SX Zhang, M Yu, D Yu IEEE Journal of Selected Topics in Signal Processing 14 (3), 542-553, 2020 | 39 | 2020 |
| Structured log linear models for noise robust speech recognition SX Zhang, A Ragni, MJF Gales IEEE Signal Processing Letters 17 (11), 945-948, 2010 | 37 | 2010 |
| Far-Field Location Guided Target Speech Extraction Using End-to-End Speech Recognition Objectives AS Subramanian, C Weng, M Yu, SX Zhang, Y Xu, S Watanabe, D Yu ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 33 | 2020 |
| Structured Support Vector Machines for Noise Robust Continuous Speech Recognition. SX Zhang, MJF Gales INTERSPEECH, 989-990, 2011 | 32 | 2011 |
Meng YUTencent AI LabVerified email at tencent.com
