Recurrent neural network training with dark knowledge transfer Z Tang, D Wang, Z Zhang 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 134 | 2016 |
Deep speaker feature learning for text-independent speaker verification L Li, Y Chen, Y Shi, Z Tang, D Wang INTERSPEECH 2017, 2017 | 97 | 2017 |
Phonetic temporal neural model for language identification Z Tang, D Wang, Y Chen, L Li, A Abel IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (1), 134-144, 2017 | 69 | 2017 |
Memory visualization for gated recurrent neural networks in speech recognition Z Tang, Y Shi, D Wang, Y Feng, S Zhang Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International …, 2017 | 59 | 2017 |
AP17-OLR challenge: Data, plan, and baseline Z Tang, D Wang, Y Chen, Q Chen 2017 Asia-Pacific Signal and Information Processing Association Annual …, 2017 | 57 | 2017 |
Collaborative joint training with multitask recurrent model for speech and speaker recognition Z Tang, L Li, D Wang, R Vipperla IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (3), 493-504, 2017 | 52 | 2017 |
Multi-task Recurrent Model for True Multilingual Speech Recognition Z Tang, L Li, D Wang Signal and Information Processing Association Annual Summit and Conference …, 2016 | 49* | 2016 |
Multi-task recurrent model for speech and speaker recognition Z Tang, L Li, D Wang 2016 Asia-Pacific Signal and Information Processing Association Annual …, 2016 | 49 | 2016 |
AP19-OLR Challenge: Three Tasks and Their Baselines Z Tang, D Wang, L Song 2019 Asia-Pacific Signal and Information Processing Association Annual …, 2019 | 47 | 2019 |
AP18-OLR Challenge: Three Tasks and Their Baselines Z Tang, D Wang, Q Chen 2018 Asia-Pacific Signal and Information Processing Association Annual …, 2018 | 47 | 2018 |
AP20-OLR Challenge: Three Tasks and Their Baselines Z Li, M Zhao, Q Hong, L Li, Z Tang, D Wang, L Song, C Yang 2020 Asia-Pacific Signal and Information Processing Association Annual …, 2020 | 38 | 2020 |
Gaussian-Constrained training for speaker verification L Li, Z Tang, Y Shi, D Wang ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 32 | 2019 |
Deep factorization for speech signal L Li, D Wang, Y Chen, Y Shi, Z Tang, TF Zheng 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 32 | 2018 |
ASR-Free Pronunciation Assessment S Cheng, Z Liu, L Li, Z Tang, D Wang, TF Zheng arXiv preprint arXiv:2005.11902, 2020 | 22 | 2020 |
Deep speaker verification: Do we need end to end? D Wang, L Li, Z Tang, TF Zheng 2017 Asia-Pacific Signal and Information Processing Association Annual …, 2017 | 20 | 2017 |
Knowledge transfer pre-training Z Tang, D Wang, Y Pan, Z Zhang arXiv preprint arXiv:1506.02256, 2015 | 17 | 2015 |
OC16-CE80: A Chinese-English mixlingual database and a speech recognition baseline D Wang, Z Tang, D Tang, Q Chen 2016 Conference of The Oriental Chapter of International Committee for …, 2016 | 16 | 2016 |
Full-info training for deep speaker feature learning L Li, Z Tang, D Wang, TF Zheng 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 14 | 2018 |
M2ASR: Ambitions and first year progress D Wang, TF Zheng, Z Tang, Y Shi, L Li, S Zhang, H Yu, G Li, S Xu, ... 2017 20th Conference of the Oriental Chapter of the International …, 2017 | 13 | 2017 |
Semantic Data Augmentation for End-to-End Mandarin Speech Recognition J Sun, Z Tang, H Yin, W Wang, X Zhao, S Zhao, X Lei, W Zou, X Li arXiv preprint arXiv:2104.12521, 2021 | 9 | 2021 |