波兰语口译语料库中的译员身份识别

IF 0.8 Q3 LINGUISTICS

Tradumatica-Traduccio i Tecnologies de la Informacio i la Comunicacio Pub Date : 2021-12-31 DOI:10.5565/rev/tradumatica.291

Danijel Koržinek, Agnieszka Chmiel

{"title":"波兰语口译语料库中的译员身份识别","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":"222 1","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"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\":\"222 1\",\"pages\":\"\"},\"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}","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

摘要

本文介绍了波兰语口译语料库(PINC)中口译员语音的自动识别。在收集一组口译员的语音样本后，使用深度神经网络模型将语料库中的所有话语与特定个体进行匹配。最终的结果是非常准确的，并提供了相当大的节省时间和准确性的人类判断。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Interpreter identification in the Polish Interpreting Corpus

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Tradumatica-Traduccio i Tecnologies de la Informacio i la Comunicacio LINGUISTICS-

CiteScore

1.50

自引率

50.00%

发文量

审稿时长

16 weeks