Jun Du
Jun Du
Associate Professor, NEL-SLIP, USTC
Verified email at ustc.edu.cn - Homepage
TitleCited byYear
A regression approach to speech enhancement based on deep neural networks
Y Xu, J Du, LR Dai, CH Lee
IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (1), 7-19, 2014
4662014
An experimental study on speech enhancement based on deep neural networks
Y Xu, J Du, LR Dai, CH Lee
IEEE Signal processing letters 21 (1), 65-68, 2013
4462013
Robust speech recognition with speech enhanced deep neural networks
J Du, Q Wang, T Gao, Y Xu, LR Dai, CH Lee
Fifteenth Annual Conference of the International Speech Communication …, 2014
672014
A speech enhancement approach using piecewise linear approximation of an explicit model of environmental distortions
J Du, Q Huo
Ninth Annual Conference of the International Speech Communication Association, 2008
592008
Dynamic noise aware training for speech enhancement based on deep neural networks
Y Xu, J Du, LR Dai, CH Lee
Fifteenth Annual Conference of the International Speech Communication …, 2014
532014
The USTC-iFlytek system for CHiME-4 challenge
J Du, YH Tu, L Sun, F Ma, HK Wang, J Pan, C Liu, JD Chen, CH Lee
Proc. CHiME, 36-38, 2016
472016
Speech separation based on improved deep neural networks with dual outputs of speech features for both target and interfering speakers
Y Tu, J Du, Y Xu, L Dai, CH Lee
The 9th International Symposium on Chinese Spoken Language Processing, 250-254, 2014
472014
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
462017
Joint training of front-end and back-end deep neural networks for robust speech recognition
T Gao, J Du, LR Dai, CH Lee
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
462015
Multiple-target deep learning for LSTM-RNN based speech enhancement
L Sun, J Du, LR Dai, CH Lee
2017 Hands-free Speech Communications and Microphone Arrays (HSCMA), 136-140, 2017
392017
Speech separation of a target speaker based on deep neural networks
J Du, Y Tu, Y Xu, L Dai, CH Lee
2014 12th International Conference on Signal Processing (ICSP), 473-477, 2014
392014
A regression approach to single-channel speech separation via high-resolution deep neural networks
J Du, Y Tu, LR Dai, CH Lee
IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (8), 1424 …, 2016
372016
Actionable content displayed on a touch screen
P Bai, Q Huo, J Du, L Sun
US Patent 9,329,692, 2016
362016
A feature compensation approach using high-order vector Taylor series approximation of an explicit distortion model for noisy speech recognition
J Du, Q Huo
IEEE Transactions on Audio, Speech, and Language Processing 19 (8), 2285-2293, 2011
342011
Watch, attend and parse: An end-to-end neural network based approach to handwritten mathematical expression recognition
J Zhang, J Du, S Zhang, D Liu, Y Hu, J Hu, S Wei, L Dai
Pattern Recognition 71, 196-206, 2017
292017
A universal VAD based on jointly trained deep neural networks
Q Wang, J Du, X Bao, ZR Wang, LR Dai, CH Lee
Sixteenth Annual Conference of the International Speech Communication …, 2015
292015
Minimum divergence based discriminative training
J Du, P Liu, FK Soong, JL Zhou, RH Wang1
Ninth International Conference on Spoken Language Processing, 2006
292006
Translating language characters in media content
J Du, L Sun, J Sun, Q Huo
US Patent 9,251,144, 2016
282016
Cepstral shape normalization (CSN) for robust speech recognition
J Du, RH Wang
2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008
282008
SNR-Based Progressive Learning of Deep Neural Network for Speech Enhancement.
T Gao, J Du, LR Dai, CH Lee
INTERSPEECH, 3713-3717, 2016
252016
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