Automatic Voice Classification System Based on Traditional Korean Medicine
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
309 female speakers and extracted a total of 134 speech features from
the voice data consisting of 5 sustained vowels and one sentence. The
classification system, based on a rule-based algorithm that is derived
from a non parametric statistical method, presents 3 types of decisions:
reserved, positive and negative decisions. In conclusion, 71.5% of the
voice data were diagnosed by this system, of which 47.7% were
correct positive decisions and 69.7% were correct negative decisions.
[1] WHO, "WHO International Standard Terminologies on Traditional
Medicine in The Western Pacific Region," Available: http://www.who.int
[2] Boersma, P, "Accurate short-term analysis of the fundamental frequency
and the harmonics-to-noise ratio of a sampled sound.", Proceeding
Institute of Phonetic Sciences 17, 1993, pp. 97-110.
[3] B. S. Atal, L. S. Hanauer, "Speech Analysis and Synthesis by Linear
Prediction of the Speech Wave.", J. Acout. Soc. Am., 1971, pp. 637-655
[4] (Program) HMM Tool Kit http://htk.eng.cam.ac.uk/
[5] Boersma, P, "Praat: doing phonetics by computer (Version 4.3.14)
Retrieved May 26, 2005, from http://www.praat.org.
[1] WHO, "WHO International Standard Terminologies on Traditional
Medicine in The Western Pacific Region," Available: http://www.who.int
[2] Boersma, P, "Accurate short-term analysis of the fundamental frequency
and the harmonics-to-noise ratio of a sampled sound.", Proceeding
Institute of Phonetic Sciences 17, 1993, pp. 97-110.
[3] B. S. Atal, L. S. Hanauer, "Speech Analysis and Synthesis by Linear
Prediction of the Speech Wave.", J. Acout. Soc. Am., 1971, pp. 637-655
[4] (Program) HMM Tool Kit http://htk.eng.cam.ac.uk/
[5] Boersma, P, "Praat: doing phonetics by computer (Version 4.3.14)
Retrieved May 26, 2005, from http://www.praat.org.
@article{"International Journal of Electrical, Electronic and Communication Sciences:54304", author = "Jaehwan Kang and Haejung Lee", title = "Automatic Voice Classification System Based on Traditional Korean Medicine", 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
309 female speakers and extracted a total of 134 speech features from
the voice data consisting of 5 sustained vowels and one sentence. The
classification system, based on a rule-based algorithm that is derived
from a non parametric statistical method, presents 3 types of decisions:
reserved, positive and negative decisions. In conclusion, 71.5% of the
voice data were diagnosed by this system, of which 47.7% were
correct positive decisions and 69.7% were correct negative decisions.", keywords = "Voice Classifier, Sasang Constitution Medicine,
Traditional Korean Medicine, SCM, TKM.", volume = "3", number = "8", pages = "1557-4", }