| Permutation invariant training of deep models for speaker-independent multi-talker speech separation D Yu, M Kolbæk, ZH Tan, J Jensen 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 1022 | 2017 |
| Multitalker speech separation with utterance-level permutation invariant training of deep recurrent neural networks M Kolbæk, D Yu, ZH Tan, J Jensen IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (10 …, 2017 | 950 | 2017 |
| 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 | 303 | 2021 |
| Conditional generative adversarial networks for speech enhancement and noise-robust speaker verification D Michelsanti, ZH Tan arXiv preprint arXiv:1709.01703, 2017 | 292 | 2017 |
| Speech intelligibility potential of general and specialized deep neural network based speech enhancement systems M Kolbæk, ZH Tan, J Jensen IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (1), 153-167, 2016 | 212 | 2016 |
| Adaptive protection combined with machine learning for microgrids H Lin, K Sun, ZH Tan, C Liu, JM Guerrero, JC Vasquez IET generation, transmission & distribution 13 (6), 770-779, 2019 | 169 | 2019 |
| rVAD: An unsupervised segment-based robust voice activity detection method ZH Tan, N Dehak Computer speech & language 59, 1-21, 2020 | 165 | 2020 |
| On loss functions for supervised monaural time-domain speech enhancement M Kolbæk, ZH Tan, SH Jensen, J Jensen IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 825-838, 2020 | 161 | 2020 |
| Deep spoken keyword spotting: An overview I López-Espejo, ZH Tan, JHL Hansen, J Jensen IEEE Access 10, 4169-4199, 2021 | 140 | 2021 |
| Reddots replayed: A new replay spoofing attack corpus for text-dependent speaker verification research T Kinnunen, M Sahidullah, M Falcone, L Costantini, RG Hautamäki, ... 2017 IEEE International conference on acoustics, speech and signal …, 2017 | 140 | 2017 |
| Decorrelation of neutral vector variables: Theory and applications Z Ma, JH Xue, A Leijon, ZH Tan, Z Yang, J Guo IEEE transactions on neural networks and learning systems 29 (1), 129-143, 2016 | 126 | 2016 |
| Low-complexity variable frame rate analysis for speech recognition and voice activity detection ZH Tan, B Lindberg IEEE Journal of Selected Topics in Signal Processing 4 (5), 798-807, 2010 | 126 | 2010 |
| Spoofing detection in automatic speaker verification systems using DNN classifiers and dynamic acoustic features H Yu, ZH Tan, Z Ma, R Martin, J Guo IEEE transactions on neural networks and learning systems 29 (10), 4633-4644, 2017 | 123 | 2017 |
| Automatic speech recognition on mobile devices and over communication networks ZH Tan, B Lindberg Springer Science & Business Media, 2008 | 104 | 2008 |
| Speech enhancement using long short-term memory based recurrent neural networks for noise robust speaker verification M Kolboek, ZH Tan, J Jensen 2016 IEEE spoken language technology workshop (SLT), 305-311, 2016 | 79 | 2016 |
| Nonintrusive speech intelligibility prediction using convolutional neural networks AH Andersen, JM De Haan, ZH Tan, J Jensen IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (10 …, 2018 | 74 | 2018 |
| Internet of Things: Opportunities and Challenges ZH Tan, NR Prasad Tutorial at WPMC2010, Recife, Brazil, 2010 | 73* | 2010 |
| DNN filter bank cepstral coefficients for spoofing detection H Yu, ZH Tan, Y Zhang, Z Ma, J Guo Ieee Access 5, 4779-4787, 2017 | 72 | 2017 |
| Monaural speech enhancement using deep neural networks by maximizing a short-time objective intelligibility measure M Kolbæk, ZH Tan, J Jensen 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 70 | 2018 |
| Integrated spoofing countermeasures and automatic speaker verification: An evaluation on ASVspoof 2015 M Sahidullah, H Delgado, M Todisco, H Yu, T Kinnunen, N Evans, ZH Tan ISCA (the International Speech Communication Association), 2016 | 70 | 2016 |
Jesper JensenOticon A/S and Aalborg University在 oticon.dk 的电子邮件经过验证
