Zhen Huang
TitleCited byYear
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
552015
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
432017
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
382015
TRECVID 2012 GENIE: Multimedia event detection and recounting
AGA Perera, S Oh, P Megha, T Ma, A Hoogs, A Vahdat, K Cannons, ...
In TRECVID Workshop, 2012
382012
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
282013
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
272016
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
222016
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
212014
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
212014
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
192015
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
162014
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
112017
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
102014
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
72016
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
62017
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
62017
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
42016
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), 81, 2017
32017
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
32017
Towards a direct Bayesian adaptation framework for deep models
Z Huang, SM Siniscalchi, IF Chen, CH Lee
2016 Asia-Pacific Signal and Information Processing Association Annual …, 2016
32016
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Articles 1–20