Jianwu Dang

J-GLOBAL         Last updated: Aug 31, 2019 at 23:45
 
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Name
Jianwu Dang
URL
http://www.jaist.ac.jp/~jdang/
Affiliation
Japan Advanced Institute of Science and Technology
Degree
B.E. from Tsinghua University, China (1982), M.E from Tsinghua University, China (1984), Ph.D. from Shizuoka University (1992)

Research Areas

 
 

Academic & Professional Experience

 
 
   
 
Professor, Japan Advanced Institute of Science and Technology School of Information Science, Department of Information Science
 

Published Papers

 
Gaoyan Zhang, Yuke Si, Jianwu Dang
Neuroscience   415 70-76   Sep 2019
© 2019 Elsevier Ltd Understanding brain processing mechanisms from the perception of speech sounds to high-level semantic processing is vital for effective human–robot communication. In this study, 128-channel electroencephalograph (EEG) signals w...
Lin Junting, Hu Xueyang, Dang Jianwu, Wu Zhongqing
IET MICROWAVES ANTENNAS & PROPAGATION   13(8) 1072-1079   Jul 2019   [Refereed]
Meng Ge, Longbiao Wang, Seiichi Nakagawa, Yuta Kawakami, Jianwu Dang, Xiangang Li
2018 11th International Symposium on Chinese Spoken Language Processing, ISCSLP 2018 - Proceedings   156-160   May 2019
� 2018 IEEE In conventional speaker identification methods based on mel-frequency cepstral coefficients (MFCCs), phase information is ignored. Recent studies have shown that phase information contains speaker dependent characteristics, and it is e...
Meng Liu, Longbiao Wang, Zeyan Oo, Jianwu Dang, Dongbo Li, Seiichi Nakagawa
2018 11th International Symposium on Chinese Spoken Language Processing, ISCSLP 2018 - Proceedings   329-333   May 2019
� 2018 IEEE Replay attacks detection is a challenging task under unseen recording environments and playback devices. To overcome this problem, we propose a combination of phase-based and magnitude-based feature with various frequency resolutions. ...
Hongcui Wang, Dongxiao He, Jianwu Dang, Xi Liang
2018 11th International Symposium on Chinese Spoken Language Processing, ISCSLP 2018 - Proceedings   300-303   May 2019
� 2018 IEEE The audio data is always continually increasing in many real applications. Recent works have shown that there was an underlying manifold on which speaker utterances live in the model-parameter space. However, the existing speaker detec...

Research Grants & Projects

 
speech science, speech production, signal processing, physiological modeling