{"title":"Who’s got talent? Comparing TTS systems for comprehensibility, naturalness, and intelligibility","authors":"Jennica Grimshaw, Tiago Bione, W. Cardoso","doi":"10.14705/rpnet.2018.26.817","DOIUrl":null,"url":null,"abstract":"The current study compared five free Text-To-Speech (TTS) systems, selected based on characteristics such as availability and capabilities. Tasks were completed by 37 English learners to evaluate these systems in terms of their comprehensibility, naturalness, and intelligibility. Our findings indicate that IBM Watson and Google Translate are the best TTS systems, according to the evaluation criteria employed.","PeriodicalId":138095,"journal":{"name":"Future-proof CALL: language learning as exploration and encounters – short papers from EUROCALL 2018","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Future-proof CALL: language learning as exploration and encounters – short papers from EUROCALL 2018","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14705/rpnet.2018.26.817","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The current study compared five free Text-To-Speech (TTS) systems, selected based on characteristics such as availability and capabilities. Tasks were completed by 37 English learners to evaluate these systems in terms of their comprehensibility, naturalness, and intelligibility. Our findings indicate that IBM Watson and Google Translate are the best TTS systems, according to the evaluation criteria employed.