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Jun Du
Jun Du
Associate Professor, NEL-SLIP, USTC
Verified email at ustc.edu.cn - Homepage
Title
Cited by
Cited by
Year
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, 2015
11122015
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, 2014
8452014
Audio source separation and speech enhancement
E Vincent, T Virtanen, S Gannot
John Wiley & Sons, 2018
1862018
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
1682017
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
1372017
The second dihard diarization challenge: Dataset, task, and baselines
N Ryant, K Church, C Cieri, A Cristia, J Du, S Ganapathy, M Liberman
arXiv preprint arXiv:1906.07839, 2019
1252019
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
1162014
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
1122017
Attention based fully convolutional network for speech emotion recognition
Y Zhang, J Du, Z Wang, J Zhang, Y Tu
2018 Asia-Pacific Signal and Information Processing Association Annual …, 2018
982018
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 4, 36-38, 2016
972016
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
952008
Multi-scale attention with dense encoder for handwritten mathematical expression recognition
J Zhang, J Du, L Dai
2018 24th international conference on pattern recognition (ICPR), 2245-2250, 2018
892018
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
882014
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
862016
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
832015
On mean absolute error for deep neural network based vector-to-vector regression
J Qi, J Du, SM Siniscalchi, X Ma, CH Lee
IEEE Signal Processing Letters 27, 1485-1489, 2020
792020
Track, attend, and parse (tap): An end-to-end framework for online handwritten mathematical expression recognition
J Zhang, J Du, L Dai
IEEE Transactions on Multimedia 21 (1), 221-233, 2018
752018
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
702014
First DIHARD challenge evaluation plan
N Ryant, K Church, C Cieri, A Cristia, J Du, S Ganapathy, M Liberman
2018, tech. Rep., 2018
682018
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
682014
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