dujun
- Associate professor
- Name (Pinyin):dujun
- E-Mail:jundu@ustc.edu.cn
- Contact Information:(+86)-0551-63603303
- Professional Title:Associate professor
- Teacher College:School of information Science and Technology
Contact Information
- ZipCode:230027
- PostalAddress:No. 443, Huangshan Road, Hefei, Anhui, 230027, China
- OfficePhone:0551-63603303
- Email:jundu@ustc.edu.cn
- Paper Publications
- [2015] Tian Gao, Jun Du, Li Xu, Cong Liu, Li-Rong Dai, and Chin-Hui Lee, “A unified speaker-dependent speech separation and enhancement system based on deep neural networks,” , Proc ChinaSIP, 2015, pp687-691.
- [2015] Yan-Hui Tu, Jun Du, Li-Rong Dai, and Chin-Hui Lee, “Speech separation based on signal-noise-dependent deep neural networks for robust speech recognition,” , Proc ICASSP, 2015, pp61-65.
- [2015] Jun Du, Jian-Fang Zhai, Jin-Shui Hu, Bo Zhu, Si Wei, and Li-Rong Dai, “Writer adaptive feature extraction based on convolutional neural networks for online handwritten Chinese character recognition,”, Accepted by Proc ICDAR 2015.
- [2015] Jun Du, Qing Wang, Yan-Hui Tu, Xiao Bao, Li-Rong Dai and Chin-Hui Lee, "An information fusion approach to recognizing microphone array speech in the CHiME-3 challenge based on a deep learning framework", Automatic Speech Recognition and Understanding ASRU, 2015 IEEE Workshop on IEEE, 2015.
- [2015] Tian Gao, Jun Du, Li-Rong Dai and Chin-Hui Lee, "Joint training of front-end and back-end deep neural networks for robust speech recognition", Acoustics, Speech and Signal Processing ICASSP, 2015 IEEE International Conference on IEEE, 2015.
- [2015] Yannan Wang, Jun Du, Li-Rong Dai and Chin-Hui Lee, "High-resolution acoustic modeling and compact language modeling of language-universal speech attributes for spoken language identification", Sixteenth Annual Conference of the International Speech Communication Association 2015.
- [2015] Qing Wang, Jun Du, Xiao Bao, Zi-Rui Wang, Li-Rong Dai and Chin-Hui Lee, "A universal VAD based on jointly trained deep neural networks", Sixteenth Annual Conference of the International Speech Communication Association 2015 Best student paper candidate.
- [2014] Yong Xu, Jun Du, Li-Rong Dai, and Chin-Hui Lee, “An experimental study on speech enhancement based on deep neural networks,” , Signal Processing Letters, Vol 21, No 1, pp65-68, 2014 .
- [2014] Jun Du and Qiang Huo, “An irrelevant variability normalization approach to discriminative training of multi-prototype based classifiers and its applications for online handwritten Chinese character recognition,”, Pattern Recognition, Vol 47, No 12, pp3959-3966, 2014.
- [2014] Jun Du and Qiang Huo, "An improved VTS feature compensation using Mixture Models of distortion and IVN training for noisy speech recognition", IEEE/ACM Transactions on Audio, Speech, and Language Processing 2211 2014: 1601-1611.