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A person identification method in CUG using voice pitch analysis

Authors
Park S.-H.Nasridinov A.Lee J.-Y.Park Y.-H.
Issue Date
Dec-2014
Publisher
IEEE
Keywords
Closed User Group (CUG); meeting management system; voice pitch analysis
Citation
2014 IEEE Fourth International Conference on Big Data and Cloud Computing, v.2015-FEB, pp 765 - 766
Pages
2
Journal Title
2014 IEEE Fourth International Conference on Big Data and Cloud Computing
Volume
2015-FEB
Start Page
765
End Page
766
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/11040
DOI
10.1109/BDCloud.2014.132
ISSN
0000-0000
Abstract
Acoustic features of voice are different according to gender due to physiological differences of the male and female speakers. Since this difference is observed in frequency range of voice, analyzing voice pitch related to this feature is useful in person identification. In this paper, we first propose a person identification method by measuring maximum and minimum frequencies of person's voice. We then propose a speech recognition method, which receives the person's voice via microphone, and transforms his/her voice to text. The proposed methods is used in a meeting management system, where it is useful to identify a person in a closed user group (CUG), and to keep a track of his/her speech. © 2014 IEEE.
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공과대학 (인공지능공학부)
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