{"title":"Identification of voice disorders using speech samples","authors":"Jagadish Nayak, P. S. Bhat","doi":"10.1109/TENCON.2003.1273387","DOIUrl":null,"url":null,"abstract":"This paper attempts to identify pathological disorders of larynx using wavelet analysis. Speech samples carry symptoms of disorder in the place of their origin. The speech signal is subjected to wavelet analysis, and the coefficients are used to identify disorders such as vocal fold paralysis. Multilayer artificial neural network is used for classification of normal and affected signals.","PeriodicalId":405847,"journal":{"name":"TENCON 2003. Conference on Convergent Technologies for Asia-Pacific Region","volume":"49 13","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"TENCON 2003. Conference on Convergent Technologies for Asia-Pacific Region","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TENCON.2003.1273387","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 24
Abstract
This paper attempts to identify pathological disorders of larynx using wavelet analysis. Speech samples carry symptoms of disorder in the place of their origin. The speech signal is subjected to wavelet analysis, and the coefficients are used to identify disorders such as vocal fold paralysis. Multilayer artificial neural network is used for classification of normal and affected signals.
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