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


Paper Publications

Recording device identification based on cepstral mixed features

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Indexed by:会议论文

Date of Publication:2015-09-12

Included Journals:EI

Volume:12-13-September-2015

Abstract:The authenticity of the recording evidence is the foundation of legitimacy and relevance, which is the primary condition of recording evidence. With the springing up of private recording evidence, there is an urgent need for authenticity identification of recordings. That the evidence shall be from an accurate and legitimate source is a prerequisite for three elements. Recording equipment identification is the core content of sources of evidence. This article studies the characteristics of the recording device parameters, proposing three characteristic parameters of recording equipment such as the proportion of time-domain low roughness, etc. And combined with improved Mel Frequency Cepstrum Coefficient (MFCC) feature parameters characteristic parameters constitute a hybrid 92-dimensional. According to experimental analysis, with 10 different brands and models of recording device (including five different brands and models commonly used in voice recorder and five kinds of commonly used different brands and models of mobile phones), 60 young men and women, each of 10 different voice, the same type of equipment to record each 2, shows that mixed characteristic parameters can effectively characterize the characteristics of the recording equipment. Recognition rate increases by more than 6% compared with ordinary cepstrum. © Copyright owned by the author(s) under the terms of the Creative Commons.

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Profile

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