most citedA Comparative Analysis of Bilingual and Trilingual Wav2Vec Models for Automatic Speech Recognition in Multilingual Oral History Archives

4 citations · 4 across the 1 of their papers we have counts for

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cs.CL2024★ 4 cited

A Comparative Analysis of Bilingual and Trilingual Wav2Vec Models for Automatic Speech Recognition in Multilingual Oral History Archives

Jan Lehečka, Josef V. Psutka, Luboš Šmídl +2

In this paper, we are comparing monolingual Wav2Vec 2.0 models with various multilingual models to see whether we could improve speech recognition performance on a unique oral hist…