{"title":"Prosodic features, self-monitoring, and dysfluency in native and non-native Mandarin speech","authors":"Bei Yang","doi":"10.1075/CSL.52.1.01YAN","DOIUrl":null,"url":null,"abstract":"This study explores the relationship between the prosodic features for time delay, self-monitoring in speech production, and perceived dysfluency. In this study, twenty native and non-native speakers of Chinese took a speech test. Each speech was transcribed, prosodic features were assigned symbols, and the coding system traced self-monitoring. An additional twenty-eight native speakers assessed the fluency of the speech samples, and then the researcher matched assessment results with symbols and coding, and analyzed them. The results indicate that uh/um and self-monitoring influence perceived dysfluency in most cases while other prosodic features do not; that the filled pause in non-native speech is a salient feature of perceived dysfluency; and how a dysfluency is perceived. The study also finds the native speakers’ perception bias.","PeriodicalId":429518,"journal":{"name":"Journal of the Chinese Language Teachers Association","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Chinese Language Teachers Association","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1075/CSL.52.1.01YAN","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This study explores the relationship between the prosodic features for time delay, self-monitoring in speech production, and perceived dysfluency. In this study, twenty native and non-native speakers of Chinese took a speech test. Each speech was transcribed, prosodic features were assigned symbols, and the coding system traced self-monitoring. An additional twenty-eight native speakers assessed the fluency of the speech samples, and then the researcher matched assessment results with symbols and coding, and analyzed them. The results indicate that uh/um and self-monitoring influence perceived dysfluency in most cases while other prosodic features do not; that the filled pause in non-native speech is a salient feature of perceived dysfluency; and how a dysfluency is perceived. The study also finds the native speakers’ perception bias.