Следене
Jun Du
Jun Du
Associate Professor, NERC-SLIP, USTC
Потвърден имейл адрес: ustc.edu.cn - Начална страница
Заглавие
Позовавания
Позовавания
Година
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
15252015
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
10732014
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
3232020
Audio source separation and speech enhancement
E Vincent, T Virtanen, S Gannot
John Wiley & Sons, 2018
3142018
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
2492017
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
2492017
The second dihard diarization challenge: Dataset, task, and baselines
N Ryant, K Church, C Cieri, A Cristia, J Du, S Ganapathy, M Liberman
INTERSPEECH, 978-982, 2019
2182019
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
1762018
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
1742018
The third DIHARD diarization challenge
N Ryant, P Singh, V Krishnamohan, R Varma, K Church, C Cieri, J Du, ...
INTERSPEECH, 3570-3574, 2021
1682021
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
1362018
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
INTERSPEECH, 1508-1512, 2015
1362015
Textmountain: Accurate scene text detection via instance segmentation
Y Zhu, J Du
Pattern Recognition 110, 107336, 2021
1312021
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
1252014
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 (1), 36-38, 2016
1172016
First DIHARD challenge evaluation plan
N Ryant, K Church, C Cieri, A Cristia, J Du, S Ganapathy, M Liberman
tech. Rep., 2018
1102018
A speech enhancement approach using piecewise linear approximation of an explicit model of environmental distortions.
J Du, Q Huo
Interspeech, 569-572, 2008
1102008
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
1062016
A four-stage data augmentation approach to resnet-conformer based acoustic modeling for sound event localization and detection
Q Wang, J Du, HX Wu, J Pan, F Ma, CH Lee
IEEE/ACM Transactions on Audio, Speech, and Language Processing 31, 1251-1264, 2023
1032023
Dynamic noise aware training for speech enhancement based on deep neural networks.
Y Xu, J Du, LR Dai, CH Lee
Interspeech 1, 2670-2674, 2014
1032014
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Статии 1–20