Recent advances in deep learning for speech research at Microsoft L Deng, J Li, JT Huang, K Yao, D Yu, F Seide, M Seltzer, G Zweig, X He, ... 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 1064 | 2013 |
Speech recognition in noisy environments: A survey Y Gong Speech communication 16 (3), 261-291, 1995 | 911 | 1995 |
Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers JT Huang, J Li, D Yu, L Deng, Y Gong 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 790 | 2013 |
An overview of noise-robust automatic speech recognition J Li, L Deng, Y Gong, R Haeb-Umbach IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (4), 745-777, 2014 | 688 | 2014 |
Restructuring of deep neural network acoustic models with singular value decomposition. J Xue, J Li, Y Gong Interspeech, 2365-2369, 2013 | 526 | 2013 |
Learning small-size DNN with output-distribution-based criteria J Li, R Zhao, JT Huang, Y Gong Fifteenth annual conference of the international speech communication …, 2014 | 359 | 2014 |
Recognition architecture for generating Asian characters SZ Kuo, KE Feige, Y Gong, T Miwa, A Chitrapu US Patent 8,457,946, 2013 | 269 | 2013 |
Adaptation of context-dependent deep neural networks for automatic speech recognition K Yao, D Yu, F Seide, H Su, L Deng, Y Gong 2012 IEEE Spoken Language Technology Workshop (SLT), 366-369, 2012 | 257 | 2012 |
Restructuring deep neural network acoustic models J Xue, E Stoimenov, J Li, Y Gong US Patent 9,728,184, 2017 | 248 | 2017 |
Shared hidden layer combination for speech recognition systems J Li, J Xue, Y Gong US Patent 9,520,127, 2016 | 229 | 2016 |
Variable-component deep neural network for robust speech recognition J Li, R Zhao, Y Gong US Patent 10,019,990, 2018 | 215 | 2018 |
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 | 208 | 2016 |
Robust automatic speech recognition: a bridge to practical applications J Li, L Deng, R Haeb-Umbach, Y Gong Academic Press, 2015 | 208 | 2015 |
Improving RNN transducer modeling for end-to-end speech recognition J Li, R Zhao, H Hu, Y Gong 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019 | 202 | 2019 |
Singular value decomposition based low-footprint speaker adaptation and personalization for deep neural network J Xue, J Li, D Yu, M Seltzer, Y Gong 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 201 | 2014 |
Identifying language origin of words M Chu, YN Chen, SZ Kuo, X He, M Riley, KE Feige, Y Gong US Patent 8,185,376, 2012 | 189 | 2012 |
An analysis of convolutional neural networks for speech recognition JT Huang, J Li, Y Gong 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 184 | 2015 |
Improving wideband speech recognition using mixed-bandwidth training data in CD-DNN-HMM J Li, D Yu, JT Huang, Y Gong 2012 IEEE Spoken Language Technology Workshop (SLT), 131-136, 2012 | 171 | 2012 |
Confidence features for automated speech recognition arbitration K Kumar, H Khalil, Y Gong, Z Al-Bawab, C Liu US Patent 10,706,852, 2020 | 167 | 2020 |
Large-scale domain adaptation via teacher-student learning J Li, ML Seltzer, X Wang, R Zhao, Y Gong arXiv preprint arXiv:1708.05466, 2017 | 162 | 2017 |