Phonetics and Speech Sciences (말소리와 음성과학)

Korean Society of Speech Sciences (한국음성학회)
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Acoustic Voice Tremor index in the measurement of voice tremor: Development and validation

음성 떨림 측정을 위한 AVTI(Acoustic Voice Tremor index)의 개발과 검증

  • Geun-Hyo Kim (Department of Otorhinolaryngology-Head and Neck Surgery and Biomedical Research Institute, Pusan National University Hospital) ;
  • Yeon-Woo Lee (Department of Speech-Language Pathology, Kosin University)
  • 김근효 (부산대학교병원 이비인후과, 의생명연구원) ;
  • 이연우 (고신대학교 언어치료학과)
  • Received : 2024.05.13
  • Accepted : 2024.06.10
  • Published : 2024.06.30
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Abstract

The aim of this study was to develop and validate the Acoustic Voice Tremor index (AVTI) for the acoustic measurement of voice tremor. A total of 71 normal adults and 41 patients with voice tremor participated in the study. Vowels /a/ were recorded for at least five seconds. Three seconds of vowel stable duration were edited to identify measures of 18 variables related to voice tremor using a Praat script. These variables and the overall severity (OS) of auditory-perceptual assessment were used to design the AVTI using linear regression analysis. The linear regression analysis identified four out of the 18 variables as significant, and a regression equation was constructed. Furthermore, internal and external validity studies demonstrated high correlations, with an average of over 0.8. The AVTI demonstrated a high correlation of 0.841 with OS. The AVTI was found to be capable of predicting voice tremor. Further studies should include a larger number of voice samples and a complementary Praat script for further analysis.

본 연구에서는 음성 떨림의 음향학적 측정을 위해서 AVTI(Acoustic Voice Tremor index)를 개발하고 검증하는 것을 목표로 한다. 정상 성인 71명, 음성 떨림 환자 41명이 참여하였으며, 모음/아 /를 5초 이상 녹음하였다. 모음 안정구간 3초를 편집하여 Praat 스크립트를 이용하여 음성 떨림 관련 18개의 변수 측정값을 확인하였다. 이 변수들과 청지각적 평가 전반적 중증도(overall severity, OS)를 이용하여 선형 회귀분석을 돌려 AVTI를 구성하였다. 선형 회귀분석 결과, 18개 중 4개의 변수가 유의미하게 확인되고 회귀식이 구성되었다. 내부/외부 타당도 조사에서도 평균 0.8 이상의 높은 연관성을 나타내었다. AVTI는 OS와 0.841의 높은 상관관계를 보였다. AVTI를 통해서 음성 떨림을 예측할 수 있었다. 후속 연구에서는 더욱 많은 음성샘플과 보완된 Praat script를 추가 분석해 볼 필요성이 있을 것으로 생각된다.

Keywords

References

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