| Multi-objective learning and mask-based post-processing for deep neural network based speech enhancement Y Xu, J Du, Z Huang, LR Dai, CH Lee arXiv preprint arXiv:1703.07172, 2017 | 120 | 2017 |
| Rapid adaptation for deep neural networks through multi-task learning Z Huang, J Li, SM Siniscalchi, IF Chen, J Wu, CH Lee Sixteenth Annual Conference of the International Speech Communication …, 2015 | 86 | 2015 |
| Data-driven power outage detection by social sensors H Sun, Z Wang, J Wang, Z Huang, NL Carrington, J Liao IEEE Transactions on Smart Grid 7 (5), 2516-2524, 2016 | 73 | 2016 |
| 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 | 63 | 2017 |
| Maximum a Posteriori Adaptation of Network Parameters in Deep Models Z Huang, SM Siniscalchi, IF Chen, J Li, J Wu, CH Lee Proc. Interspeech, 2015 | 61 | 2015 |
| A unified approach to transfer learning of deep neural networks with applications to speaker adaptation in automatic speech recognition Z Huang, SM Siniscalchi, CH Lee Neurocomputing 218, 448-459, 2016 | 60 | 2016 |
| DNN-based speech bandwidth expansion and its application to adding high-frequency missing features for automatic speech recognition of narrowband speech K Li, Z Huang, Y Xu, CH Lee Sixteenth Annual Conference of the International Speech Communication …, 2015 | 59 | 2015 |
| A maximal figure-of-merit learning approach to maximizing mean average precision with deep neural network based classifiers K Li, Z Huang, YC Cheng, CH Lee 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 53 | 2014 |
| A blind segmentation approach to acoustic event detection based on i-vector. Z Huang, YC Cheng, K Li, V Hautamäki, CH Lee INTERSPEECH, 2282-2286, 2013 | 40 | 2013 |
| SNDCNN: Self-normalizing deep CNNs with scaled exponential linear units for speech recognition Z Huang, T Ng, L Liu, H Mason, X Zhuang, D Liu ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 32 | 2020 |
| Feature Space Maximum A Posteriori Linear Regression for Adaptation of Deep Neural Networks Z Huang, J Li, SM Siniscalchi, IF Chen, C Weng, CH Lee INTERSPEECH, 2992-2996, 2014 | 27 | 2014 |
| Beyond cross-entropy: Towards better frame-level objective functions for deep neural network training in automatic speech recognition Z Huang, J Li, C Weng, CH Lee Fifteenth Annual Conference of the International Speech Communication …, 2014 | 27 | 2014 |
| Deep learning vector quantization for acoustic information retrieval Z Huang, C Weng, K Li, YC Cheng, CH Lee 2014 IEEE international conference on acoustics, speech and signal …, 2014 | 21 | 2014 |
| Bayesian unsupervised batch and online speaker adaptation of activation function parameters in deep models for automatic speech recognition Z Huang, SM Siniscalchi, CH Lee IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (1), 64-75, 2016 | 20 | 2016 |
| A transfer learning and progressive stacking approach to reducing deep model sizes with an application to speech enhancement S Wang, K Li, Z Huang, SM Siniscalchi, CH Lee 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 14 | 2017 |
| Hierarchical Bayesian combination of plug-in maximum a posteriori decoders in deep neural networks-based speech recognition and speaker adaptation Z Huang, SM Siniscalchi, CH Lee Pattern Recognition Letters 98, 1-7, 2017 | 11 | 2017 |
| 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), 1-13, 2017 | 9 | 2017 |
| 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 2017 Hands-free Speech Communications and Microphone Arrays (HSCMA), 36-40, 2017 | 8 | 2017 |
| Improving deep neural network based speech synthesis through contextual feature parametrization and multi-task learning Z Wen, K Li, Z Huang, CH Lee, J Tao Journal of Signal Processing Systems 90, 1025-1037, 2018 | 7 | 2018 |
| Learning auxiliary categorical information for speech synthesis based on deep and recurrent neural networks Z Wen, K Li, Z Huang, J Tao, CH Lee 2016 10th International Symposium on Chinese Spoken Language Processing …, 2016 | 5 | 2016 |
Chin-Hui LeeProfessor of School of Electrical and Computer Engineering, Georgia TechVerified email at ece.gatech.edu
