Pilot Study on the Classification for Sasangin by the Voice Analysis

음성분석에 의한 체질진단에 관한 연구

  • Lee Eui-Ju (Department of Sasang Constitutional Medicine, College of Oriental Medicine, Kyunghee University) ;
  • Song Kwang-Bin (Master of Engineering, College of Radio Communication Engineering, Kyunghee University) ;
  • Choi Hwan-Soo (Korea Institute of Oriental Medicine) ;
  • Yoo Jung-Hee (Department of Sasang Constitutional Medicine, College of Oriental Medicine, Kyunghee University) ;
  • Kwak Chang-Kyu (Department of Sasang Constitutional Medicine, College of Oriental Medicine, Kyunghee University) ;
  • Sohn Eun-Hae (Department of Sasang Constitutional Medicine, College of Oriental Medicine, Kyunghee University) ;
  • Koh Byung-Hee (Department of Sasang Constitutional Medicine, College of Oriental Medicine, Kyunghee University)
  • 이의주 (경희대학교 한의과대학 사상체질과) ;
  • 송광빈 (경희대학교 전파공학과) ;
  • 최환수 (한국한의학연구원) ;
  • 유정희 (경희대학교 한의과대학 사상체질과) ;
  • 곽창규 (경희대학교 한의과대학 사상체질과) ;
  • 손은혜 (경희대학교 한의과대학 사상체질과) ;
  • 고병희 (경희대학교 한의과대학 사상체질과)
  • Published : 2005.03.01

Abstract

Objective : This research was conducted to evaluate the method of sasangin classification by voice analysis, The 2 pilot tests were thus designed to solve the following problems: 'What are the conditions at classification for sasangin by the voice analysis?' and 'What are the important variances of /a/ parameter?'. Methods: 122 volunteers Were examined to make a diagnosis of sasangin by QSCC II and they were disease-free and healthy, First, they said /a/ three times for 2 seconds in their usual voice, Second, they said /a/ for 2 seconds by the different ways of high tone, mid tone, and low tone. The sounds were collected by a recording program (cooledit 2000) through a Sony microphone (ecm-26l). We analyzed the voices by maltlab, the simulation tool. Results: There were no differences and were correlations when one said /a/ three times for 2 seconds in the usual voice. There were some things to correlate when one said /a/ three times for 2 seconds by the different ways of high speech, usual speech, and low speech. Others were nothing to correlate. We evaluated the value of sasangin classification method by only /a/ voice analysis. The hit ratio was average $66.3\%\;:\;soyangin\;67.9\%,\;taeumin\;68.0\%,\;soeumin\;63.9\%$. Conclusion: We must set up the conditions to use the method of sasangin classification by voice analysis. The value of sasangin classification method by only fa! voice analysis was a hit ratio of $66.3\%$.

Keywords