Papers by Eduard Šubert

1 papers
Khan Academy Corpus: A Multilingual Corpus of Khan Academy Lectures (2024.lrec-main)

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Challenge: a dataset of 10122 hours in 87394 recordings is presented in a new journal . 43% of recordings have human-written subtitles, covering a total of 137 languages.
Approach: They present a Khan Academy corpus with 10122 hours in 87394 recordings . 43% of recordings have human-written subtitles, and 137 languages are included .
Outcome: The dataset can be used to train multilingual speech recognition and translation models.

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