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

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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。

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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.

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