A Study on the Diagnosis of Laryngeal Diseases by Acoustic Signal Analysis

음향신호의 분석에 의한 후두질환의 진단에 관한 연구

  • 조철우 (창원대학교 공과대학 제어계측공학과) ;
  • 양병곤 (동의대학교 인문대학 영어영문학과) ;
  • 왕수건 (부산대학교 의과대학 이비인후과)
  • Published : 1999.04.01


This paper describes a series of researches to diagnose vocal diseases using the statistical method and the acoustic signal analysis method. Speech materials are collected at the hospital. Using the pathological database, the basic parameters for the diagnosis are obtained. Based on the statistical characteristics of the parameters, valid parameters are chosen and those are used to diagnose the pathological speech signal. Cepstrum is used to extract parameters which represents characteristics of pathological speech. 3 layered neural network is used to train and classify pathological speech into normal, benign and malignant case.