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http://dx.doi.org/10.3745/KIPSTB.2008.15-B.1.17

Classification of Sasang Constitution Taeumin by Comparative of Speech Signals Analysis  

Kim, Bong-Hyun (한밭대학교 컴퓨터공학과)
Lee, Se-Hwan (한밭대학교 컴퓨터공학과)
Cho, Dong-Uk (도립 충북과학대학 정보통신과학과)
Publication Information
The KIPS Transactions:PartB / v.15B, no.1, 2008 , pp. 17-24 More about this Journal
Abstract
This paper proposes Sasang constitution classification through speech signals analysis values and comparison. For this, this paper wishes to propose Taeumin classification method of output values signals that comes out speech signal analysis to connect with process classification of Soeumin through skin diagnosis by first step in the whole system configuration to provide for objective index of Sasang constitution. First of all, these characteristic of voices wish to extract phonetic elements that each Sasang constitution groups' clear features. Also, we wish to classify Taeumin through constitution groups' difference and similarity on the basis of results value. Finally, the effectiveness of this method is verified through the experiments.
Keywords
Sasang Constitution; Speech Analysis; Speech Signal; Feature Extraction;
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