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Language Discrimination Improves Linguistic Learning in Multilingual Speech Models

de Seyssel, Maureen et al.
arXiv (All) · Papers
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audio-and-speech-processingcomputation-and-languagesound
Multilingual self-supervised speech models can benefit from sharing information across languages, but under a matched total pretraining data budget they still fall short of monolingual models. We show that strengthening the model's ability to discriminate languages during pretraining reduces and, on
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