王波
Professor Supervisor of Doctorate Candidates Supervisor of Master's Candidates
Main positions:Professor
Gender:Male
Alma Mater:Dalian University of Technology
Degree:Doctoral Degree
School/Department:School of Information and Communication Engineering
Discipline:Signal and Information Processing
Business Address:A512, Haishan Building
Contact Information:bowang@dlut.edu.cn
E-Mail:bowang@dlut.edu.cn
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Indexed by:期刊论文
Date of Publication:2011-11-01
Journal:Journal of Convergence Information Technology
Included Journals:EI、Scopus
Volume:6
Issue:11
Page Number:293-299
Abstract:Forensic speech usually suffers from noise, distortion, interfering sounds, and other signal processing challenges that can impede proper analysis. The most common enhancement issue for forensic speech only could remove amplitude spectrum of background noise from the record. This paper proposes a new two-dimensional speech enhancement method which adopts parallel Wiener filter array in fractional Fourier transform domain to remove amplitude spectrum and phase spectrum of background noise. Theoretical analysis and experiments are conducted and the experiment shows that it has significantly superior Signal-to-Noise ratio over wiener filtering under the colored noise and white noise. It has wide application prospects in forensic speech recognition and speaker recognition.
I am not a star professor, but I am working on the road to a star professor of tomorrow. For this reason, self-motivated graduate students are desired to my research group. Self-motivated attitude and initiative are the most important characteristics in our laboratory. Students with preliminary knowledge on signal (image/video) processing and programming skills are most welcome. For your academic trip in my group, I will devote myself to training your FIVE abilities: Intellectual skills, Communication skills, Personality characteristics, Habit of work, Mechanical skills, which are considered as the most important abilities of a graduated student.
http://ice.dlut.edu.cn/WangBo/index.html
