{"title":"Databases and their applications for diagnosis of developmental dysphasia","authors":"Pavel Grill, J. Vavrina, J. Tucková","doi":"10.1109/ECMSM.2013.6648969","DOIUrl":null,"url":null,"abstract":"The aim of the paper is to introduce the database containing speech data of children from 6 to 12 years of age. There are two groups of data in the database; the first contains data of healthy children; the second contains data of children with developmental dysphasia (DD). The first part of the paper shows the methodology, how the database was created and what data it contains. The next part describes the method used by the authors for diagnosis of DD. We briefly explain methods based on the classification rate of vowel detection, vocalic triangle analysis, length of utterances etc. The aim of the methods is to separate children with DD into groups according to the significance of their disorder.","PeriodicalId":174767,"journal":{"name":"2013 IEEE 11th International Workshop of Electronics, Control, Measurement, Signals and their application to Mechatronics","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 11th International Workshop of Electronics, Control, Measurement, Signals and their application to Mechatronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECMSM.2013.6648969","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
The aim of the paper is to introduce the database containing speech data of children from 6 to 12 years of age. There are two groups of data in the database; the first contains data of healthy children; the second contains data of children with developmental dysphasia (DD). The first part of the paper shows the methodology, how the database was created and what data it contains. The next part describes the method used by the authors for diagnosis of DD. We briefly explain methods based on the classification rate of vowel detection, vocalic triangle analysis, length of utterances etc. The aim of the methods is to separate children with DD into groups according to the significance of their disorder.