Interpreter identification in the Polish Interpreting Corpus
Danijel Koržinek, Agnieszka Chmiel · Tradumàtica tecnologies de la traducció · 2021
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.