DOI QR코드

DOI QR Code

Application of Vocal Properties and Vocal Independent Features to Classifying Sasang Constitution

음성 특성 및 음성 독립 변수의 사상체질 분류로의 적용 방법

  • Received : 2011.10.04
  • Accepted : 2011.11.21
  • Published : 2011.12.31

Abstract

1. Objectives Vocal characteristics are commonly considered as an important factor in determining the Sasang constitution and the health condition. We have tried to find out the classification procedure to distinguish the constitution objectively and quantitatively by analyzing the characteristics of subject's voice without noise and error. 2. Methods In this study, we extract the vocal features from voice selected with prior information, remove outliers, minimize the correlated features, correct the features with normalization according to gender and age, and make the discriminant functions that are adaptive to gender and age from the features for improving diagnostic accuracy. 3. Results and Conclusions Finally, the discriminant functions produced about 45% accuracy to classify the constitution for every age interval and every gender, and the diagnostic accuracy was meaningful as the result from only the voice.

Keywords

References

  1. Kim JY, Pham DD. Sasang constitutional medicine as a holistic tailored medicine. eCAM. 2009;6(sup. 1):11-20.
  2. Han C, Park SH, Lee SJ, Kim M-G, Wedding D, Kwon Y-K. Psychological profile of Sasang typology: a systematic review. eCAM. 2009;6(sup. 1):21-30.
  3. Lee J. Dongeuisusebowon-chogo. Seoul:Cheongdam (Translated by Kim D-R). 1999.(Korean).
  4. Cho DU. Sasang Constitution Classification by Speech Signal Processing. J of Korea Information and Communications Society. 2006;31(5C):548-555.(Korean).
  5. Moon SJ, Tak JH, Hwang HJ. A Phonetic study of 'Sasang Constitution'. Malsori. 2005;55:1-14.(Korean).
  6. Kwon CH, Kim JY, Kim KH, Han SM. A Study on Correlation between Sasang Constitution and Speech Features. J of traditional Korean medicine. 2009;19(2): 219-228.(Korean).
  7. Park S-J, Kim D-R. A study on the correlation between Sasang Constitution and sound characteristics used harmonics and formant bandwidth. J Sasang Constitut Med. 2004;16(1):61-73.(Korean).
  8. Kim S-H, Han D-Y, Youn J-Y, Kim D-R, Jeon J-W. A study on the characteristics of the Korea adult women sound as by Sasang Constitution analysed with PSSC-2004. J Sasang Constitut Med. 2005;17(1): 84-102.(Korean).
  9. Kim H, Yang S-M, Shim G-H, Yoo J-S, Kim D-R. Sound characteristics of Sasang Constitutional type using PSSC-2004 in the Korean children. J Sasang Constitut Med. 2006;18(2):55-67.(Korean).
  10. Choi J-W, Song H-S, Han D-Y, Cho S-E. A study on the characteristics of the Korean adult male sound according to Sasang Constitution using PSCC with a sentence. J Sasang Constitut Med. 2006;18(3):64-74. (Korean).
  11. Goldwave Inc. Goldwave v5.58. 2010 Aug. Available from:URL:http://www.goldwave.com.
  12. Woodland P. Version 3.4.1 of HTK. Hidden Markov Model Toolkit (HTK). 2009. Available from:URL:http: //htk.eng.cam.ac.uk.
  13. Boersma P, Weenink D. Version 5.2.11 of Praat. Praat: doing phonetics by computer. 2011 Jan. Available from:URL:http://www.fon.hum.uva.nl/praat/.
  14. Deller JR, Hansen JHL, Proakis JG. Discrete-Time Processing of Speech Signals, New York: Wiley- Interscience. 2000:104-115.
  15. Rahim MG, Juang BH. Signal bias removal by maximum likelihood estimation for robust telephone speech recognition. IEEE Trans. Speech & Audio Processing. 1996;4(1):19-30. https://doi.org/10.1109/TSA.1996.481449
  16. Epina GmbH. Pearson's Correlation Coefficient. Virtual Institute of Applied Science. 2006 Jan. Available from:URL:http://www.vias.org/tmdatanaleng/cc_ corr_coeff.html.
  17. Upton G, Cook I. Understanding Statistics. Oxford:Oxford University Press. 1996:55.