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license: cc-by-nc-sa-4.0
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# wav2vec2-base-cs-en-de-
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This is a trilingual Wav2Vec 2.0 base model pre-trained from 150 thousand hours of speech (50 thousand hours of Czech, 50 thousand hours of English and 50 thousand hours of German).
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It has been released along with a paper **A Comparative Analysis of Bilingual and Trilingual Wav2Vec Models for
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Automatic Speech Recognition in Multilingual Oral History Archives** accepted to INTERSPEECH2024 conference.
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license: cc-by-nc-sa-4.0
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# wav2vec2-base-cs-en-de-150k
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This is a trilingual Wav2Vec 2.0 base model pre-trained from 150 thousand hours of speech (50 thousand hours of Czech, 50 thousand hours of English and 50 thousand hours of German).
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It has been released along with a paper **A Comparative Analysis of Bilingual and Trilingual Wav2Vec Models for
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Automatic Speech Recognition in Multilingual Oral History Archives** accepted to INTERSPEECH2024 conference.
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