{"title":"Interpreter identification in the Polish Interpreting Corpus","authors":"Danijel Koržinek, Agnieszka Chmiel","doi":"10.5565/rev/tradumatica.291","DOIUrl":null,"url":null,"abstract":"This paper describes automated identification of interpreter voices in the Polish Interpreting Corpus (PINC). After collecting a set of voice samples of interpreters, a deep neural network model was used to match all the utterances from the corpus with specific individuals. The final result is very accurate and provides a considerable saving of time and accuracy off human judgment.","PeriodicalId":42402,"journal":{"name":"Tradumatica-Traduccio i Tecnologies de la Informacio i la Comunicacio","volume":null,"pages":null},"PeriodicalIF":0.8000,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tradumatica-Traduccio i Tecnologies de la Informacio i la Comunicacio","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5565/rev/tradumatica.291","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"LINGUISTICS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper describes automated identification of interpreter voices in the Polish Interpreting Corpus (PINC). After collecting a set of voice samples of interpreters, a deep neural network model was used to match all the utterances from the corpus with specific individuals. The final result is very accurate and provides a considerable saving of time and accuracy off human judgment.
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