Speech embeddings from a fine-tuned language identification model produce language distance measures that align with lexical and geographic distances across 106 languages, with around 50 recordings per language needed for stable results.
The myth of language universals: Language diversity and its importance for cognitive science
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Neighbors and relatives: How do speech embeddings reflect linguistic connections across the world?
Speech embeddings from a fine-tuned language identification model produce language distance measures that align with lexical and geographic distances across 106 languages, with around 50 recordings per language needed for stable results.