|
KMID : 1022420090010030155
|
|
Phonetics and Speech Sciences
2009 Volume.1 No. 3 p.155 ~ p.163
|
|
|
Automated Speech Analysis Applied to Sasang Constitution Classification
|
|
Kang Jae-Hwan
Yoo Jong-Hyang
Lee Hae-Jung
Kim Jong-Yeol
|
|
|
Abstract
|
|
|
|
This paper introduces an automatic voice classification system for the diagnosis of individual constitution based on Sasang Constitutional Medicine (SCM) in Traditional Korean Medicine (TKM). For the developing of this algorithm, we used the voices of 473 speakers and extracted a total of 144 speech features from the speech data consisting of five sustained vowels and one sentence. The classification system, based on a rule-based algorithm that is derived from a non parametric statistical method, presents binary negative decisions. In conclusion, 55.7% of the speech data were diagnosed by this system, of which 72.8% were correct negative decisions.
|
|
|
KEYWORD
|
|
|
non-parametric, quantitative, Sasang, constitution, SCM, TKM
|
|
|
FullTexts / Linksout information
|
|
|
|
|
|
Listed journal information
|
|
|