Interpreter identification in the Polish Interpreting Corpus
Copyright policy )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.
European Parliament, Interpreting corpora, Transcripció de veus, Corpus d'intèrprets, Corpus de discursos, Anotación de hablantes, European parliament, speaker annotation, P306-310, automatic speaker identification, Parlament europeu, Identificación automática de voces, speech corpora, Translating and interpreting, interpreting corpora, Parlamento europeo, Corpus de interpretación, Corpus de parla, Identificació automàtica de veus, Speaker annotation, Speech corpora, Automatic speaker identification
European Parliament, Interpreting corpora, Transcripció de veus, Corpus d'intèrprets, Corpus de discursos, Anotación de hablantes, European parliament, speaker annotation, P306-310, automatic speaker identification, Parlament europeu, Identificación automática de voces, speech corpora, Translating and interpreting, interpreting corpora, Parlamento europeo, Corpus de interpretación, Corpus de parla, Identificació automàtica de veus, Speaker annotation, Speech corpora, Automatic speaker identification
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