Phonetics and Speech Sciences (말소리와 음성과학)

Korean Society of Speech Sciences (한국음성학회)
권호 표지
DOI QR코드

DOI QR Code

Analysis of the Relationship Between Sasang Constitutional Groups and Speech Features Based on a Listening Evaluation of Voice Characteristics

목소리 특성의 청취 평가에 기초한 사상체질과 음성 특징의 상관관계 분석

  • Received : 2012.08.11
  • Accepted : 2012.11.02
  • Published : 2012.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

Sasang constitution experts utilize voice characteristics as an auxiliary measure for deciding a person's constitutional group. This study aims at establishing a relationship between speech features and the constitutional groups by subjective listening evaluation of voice characteristics. A speech database of 841 speakers whose constitutional groups have been already diagnosed by Sasang constitution experts was constructed. Speech features related to speech source and vocal tract filter were extracted from five vowels and one sentence. Statistically significant speech features for classifying the groups were analyzed using SPSS. The features contributed to constitution classification were speaking rate, Energy, A1, A2, A3, H1, H2, H4, CPP for males in their 20s, F0_mean, CPP, SPI, HNR, Shimmer, Energy, A1, A2, A3, H1, H2, H4 for females in their 20s, Energy, A1, A2, A3, H1, H2, H4, CPP for male in the 60s, and Jitter, HNR, CPP, SPI for females in their 60s. Experimental results show that speech technology is useful in classifying constitutional groups.

Keywords

References

  1. Han, S. M., Kim, S. B., Kim, J. Y. & Kwon, C. H. (2011). A preliminary study on correlation between voice characteristics and speech features. Phonetics and Speech Sciences, Vol. 3, No. 4, 85-91. (한성만, 김상범, 김종열, 권철홍 (2011). 목소리 특성의 주관 적 평가와 음성 특징과의 상관관계 기초연구. 말소리와 음성 과학, 3권 4호, 85-91.)
  2. Kim, D. R. (2003). A study about five-sounds of Sasang constitutional sound analysis. J. of Sasang Constitutional Medicine, Vol. 15, No. 1, 50-59. (김달래 (2003). 오음의 사상의학적 음성분석과 고찰. 사상체질의학회지, 15권 1호, 50-59.)
  3. Shin, M. R. & Kim, D. R. (1999). A study on the correlation between sound characteristics and Sasang constitution by CSL. J. of Sasang Constitutional Medicine, Vol. 11, No. 1, 137-157. (신미란, 김달래 (1999). CSL을 통한 음향특성과 사상체질간 의 상관성 연구. 사상체질의학회지, 11권 1호, 137-157.)
  4. Kim, S. H., Shin, M. R., Kim, D. R. & Kwon, K. R. (2000). A study on the correlation between sound characteristic and Sasang constitution by Laryngograph and EGG. J. of Sasang Constitutional Medicine, Vol. 12, No. 1, 144-156. (김선형, 신미란, 김달래, 권기록 (2000). Laryngograph와 EEG 를 이용한 음향특성과 사상체질간의 상관성 연구. 사상체질 의학회지, 12권 1호, 144-156.)
  5. Yang, S. M., Kim, S. H., Yoo, J. S., Kim, Kim, H. S., Lee, Y. H. & Kim, D. R. (2001). A study on the correlation between sound characteristic and Sasang constitution by pitch range and bandwidth. J. of Sasang Constitutional Medicine, Vol. 13, No. 3, 31-39. (양상묵, 김선형, 유준상, 김형석, 이영훈, 김달래 (2001). Pitch Range와 Bandwidth를 이용한 음성특성과 사상체질간의 상관 성 연구. 사상체질의학회지, 13권 3호, 31-39.)
  6. Park, S. J. & Kim, D. R. (2004). A study on the correlation between Sasang constitution and sound characteristics used harmonics and formant bandwidth. J. of Sasang Constitutional Medicine, Vol. 16, No. 1, 61-73. (박성진, 김달래 (2004). Harmonics와 Formant Bandwidth를 이용한 음성특성과 사상체질간의 상관성 연구. 사상체질의학회지, 16권 1호, 61-73.)
  7. Moon, S. J., Park, J. J. & Hwang, H. J. (2003). Voice and Sasang constitution: in terms of source functions. Malsori, Vol. 48, 19-33. (문승재, 박종주, 황혜정 (2003). 음성과 사상체질: 음원을 중심으로. 말소리, 48호, 19-33.)
  8. Moon, S. J., Tak, J. H. & Hwang, H. J. (2005). A phonetic study of Sasang constitution. Malsori, Vol. 55, 1-14. (문승재, 탁지현, 황혜정 (2005). 음성학적으로 본 사상체질. 말소리, 55호, 1-14.)
  9. Kang, J. H., Yoo, J. H., Lee, H. J. & Kim, J. Y. (2009). Automated speech analysis applied to Sasang constitution classification. Phonetics and Speech Sciences, Vol. 1, No. 3, 155-163. (강재환, 유종향, 이혜정, 김종열 (2009). 음성을 이용한 사상 체질 분류 알고리즘. 말소리와 음성과학, 1권 3호, 155-163.)
  10. Kang, J. H., Do, J. H. & Kim, J. Y. (2010). Voice classification algorithm for Sasang constitution using support vector machine. J. of Sasang Constitutional Medicine, Vol. 22, No. 1, 17-25. (강재환, 도준형, 김종열 (2010). SVM을 이용한 음성 사상체 질 분류 알고리즘. 사상체질의학회지, 22권 1호, 17-25.)
  11. SPSS Korea (2012). http://www.spss.co.kr
  12. Hillenbrand, J. & Houde, R. A. (1996). Acoustic correlates of breathy vocal quality: dysphonic voices and continuous speech. Journal of Speech and Hearing Research, Vol. 39, 311-321. https://doi.org/10.1044/jshr.3902.311
  13. Mili, M. M. & Jayashree, S. B. (2009). Soft phonation index - a sensitive parameter?. Indian J. Otolaryngol Head Neck Surg, Vol. 61, 127-130. https://doi.org/10.1007/s12070-009-0050-4