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Apple Machine Learning Research
Language Discrimination Improves Linguistic Learning in Multilingual Speech Models
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Language Discrimination Improves Linguistic Learning in Multilingual Speech Models
Researchers report that strengthening language discrimination during pretraining improves multilingual self-supervised speech models under a matched total data budget. The approach reduces, and on some measures closes, the gap with monolingual models on phonetic and higher-level linguistic measures.