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Human-like cross-language generalisation in deep neural speaker embeddings and its acoustic foundations
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speaker embeddingscross-language generalisationhuman perceptionacoustic features
2611.05384
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2h ago70%
Abstract
This study investigates the cross-language generalisation of deep neural speaker embeddings and its relationship with human perception and acoustic structure.
Reality Card
Core Claim
Deep neural speaker embeddings exhibit cross-language generalisation that aligns with human behaviour, demonstrating accurate identity discrimination and sensitivity to language switching.
Method / Result
Embeddings showed cross-language generalisation that paralleled human behaviour, supported by 18 state-of-the-art models.
Limitations
The study may have limitations in generalising findings beyond the specific bilingual speech conditions tested.
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