The Journal of the Acoustical Society of Korea (한국음향학회지)

The Acoustical Society of Korea (한국음향학회)
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Correlation analysis of antipsychotic dose and speech characteristics according to extrapyramidal symptoms

추체외로 증상에 따른 항정신병 약물 복용량과 음성 특성의 상관관계 분석

  • 이수빈 (서울대학교 융합과학기술대학원 음악오디오연구실) ;
  • 김서영 (분당서울대학교병원 정신건강의학과) ;
  • 김혜윤 (서울대학교 자연대학 뇌인지과학과) ;
  • 김의태 (분당서울대학교병원 정신건강의학과) ;
  • 유경상 (서울대학교 의과대학 임상약리학교실) ;
  • 이호영 (서울대학교 인문대학 언어학과) ;
  • 이교구 (서울대학교 융합과학기술대학원 음악오디오연구실)
  • Received : 2022.03.21
  • Accepted : 2022.05.24
  • Published : 2022.05.31
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Abstract

In this paper, correlation analysis between speech characteristics and the dose of antipsychotic drugs was performed. To investigate the pattern of speech characteristics of ExtraPyramidal Symptoms (EPS) related to voice change, a common side effect of antipsychotic drugs, a Korean-based extrapyramidal symptom speech corpus was constructed through the sentence development. Through this, speech patterns of EPS and non-EPS groups were investigated, and in particular, a strong speech feature correlation was shown in the EPS group. In addition, it was confirmed that the type of speech sentence affects the speech feature pattern, and these results suggest the possibility of early detection of antipsychotics-induced EPS based on the speech features.

본 논문은 항정신병 약물의 복용량에 따른 음성 특징의 상관관계 분석을 수행하였다. 항정신병 약물의 대표적 부작용 중 하나인 추체외로 증상(ExtraPyramidal Symptoms, EPS) 발생에 따른 음성 특징의 패턴을 알아보기 위하여, 문장 개발을 통해 한국어 기반 추체외로 증상 음성 코퍼스를 구축하였다. 수집된 자료는 추체외로 증상 군과 비 추체외로 증상 군으로 나누어 음성 특징 패턴을 조사하였으며, 특히 추체외로 증상 군의 높은 음성 특징 상관관계를 보였다. 또한, 발화 문장의 종류가 음성 특징 패턴에 영향을 미친다는 것을 확인할 수 있었으며, 이를 통해 음성 특징을 기반한 추체외로 증상의 조기 발견 가능성을 기대해볼 수 있었다.

Keywords

Acknowledgement

본 논문은 서울대학교의 교내 융복합 연구과제인 "화자의 음성분석과 기계학습을 이용한 항정신성 약물의 효과성, 적정 복용량 및 부작용 예측 알고리즘 개발"의 연구 결과 중 일부이다.

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