I. Pavaloi, E. Musca, Bolea Speranta-Cecilia, F. Rotaru
{"title":"Acoustic analysis methodology on Romanian language vowels for different emotional states","authors":"I. Pavaloi, E. Musca, Bolea Speranta-Cecilia, F. Rotaru","doi":"10.1109/ISSCS.2013.6651239","DOIUrl":null,"url":null,"abstract":"A methodology and an application for acoustic analysis of Romanian language vowels, for different emotional states and different vowel location in words, are presented. The application can be useful for expressivity analysis, speech synthesis and the speech to text approach. We focus on the data structures inside the software for annotation analysis of speech files. The formant statistical characteristic analysis of vowels on file subclasses selected by user is performed. The application allows refining the emotional state analysis at the level of vowels.","PeriodicalId":260263,"journal":{"name":"International Symposium on Signals, Circuits and Systems ISSCS2013","volume":"143 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on Signals, Circuits and Systems ISSCS2013","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSCS.2013.6651239","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
A methodology and an application for acoustic analysis of Romanian language vowels, for different emotional states and different vowel location in words, are presented. The application can be useful for expressivity analysis, speech synthesis and the speech to text approach. We focus on the data structures inside the software for annotation analysis of speech files. The formant statistical characteristic analysis of vowels on file subclasses selected by user is performed. The application allows refining the emotional state analysis at the level of vowels.