dujun
- Associate professor
- Name (Pinyin):dujun
- E-Mail:
- Contact Information:(+86)-0551-63603303
- Professional Title:Associate professor
- Teacher College:School of information Science and Technology
Contact Information
- ZipCode:
- PostalAddress:
- OfficePhone:
- Email:
- Paper Publications
- [2020] Xue Bai, Jun Du, Jia Pan, Heng-shun Zhou, Yan-Hui Tu, Chin-Hui Lee, "High-resolution attention network with acoustic segment model for acoustic scene classification", Accepted by ICASSP2020.
- [2020] Xin Wang, Jun Du, Alejandrina Cristia, Lei Sun, Chin-Hui Lee, "A study of child speech extraction using joint speech enhancement and separation in realistic conditions", Accepted by ICASSP2020.
- [2020] Lei Sun, Jun Du, Xueyang Zhang, Tian Gao, Xin Fang, Chin-Hui Lee, "Progressive multi-target network based speech enhancement with snr-preselection for robust speaker diarization", Accepted by ICASSP2020.
- [2020] Shu-Tong Niu, Jun Du, Li Chai and Chin Hui Lee, "A Maximum Likelihood Approach to Multi-Objective Learning Using Generalized Gaussian Distributions for Dnn-Based Speech Enhancement", Accepted by ICASSP2020.
- [2020] Yu-Xuan Wang, Jun Du, Li Chai, Chin Hui Lee and Jia Pan, "A Noise-Aware Memory-Attention Network Architecture for Regression-Based Speech Enhancement", Accepted by InterSpeech2020.
- [2020] Yanhui Tu, Jun Du, Lei Sun, Feng Ma, Jia Pan, Chin-Hui Lee, "A Space-and-Speaker-Aware Iterative Mask Estimation Approach to Multi-Channel Speech Recognition in the CHiME-6 Challenge", Accepted by InterSpeech2020.
- [2020] Hengshun Zhou, Jun Du, Yan-Hui Tu, Chin-Hui Lee, "Using Speech Enhancement Preprocessing for Speech Emotion Recognition in Realistic Noisy Conditions", Accepted by InterSpeech2020.
- [2020] Koen Oostermeijer, Qing Wang, Jun Du, "Frequency gating: Improved convolutional neural networks for speech enhancement in the time-frequency domain", Accepted by APSIPA ASC 2020.
- [2019] Tu Y H, Du J, Lee C H "Speech Enhancement Based on Teacher–Student Deep Learning Using Improved Speech Presence Probability for Noise-Robust Speech Recognition", IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2019, 2712: 2080-2091.
- [2019] J Qi, J Du, S M Siniscalchi and C Lee, "A Theory on Deep Neural Network Based Vector-to-Vector Regression With an Illustration of Its Expressive Power in Speech Enhancement," , in IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol 27, no 12, pp 1932-1943, Dec 2019.