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News/Identifying and typifying demographic unfairness in phoneme-level embeddings of self-supervised speech recognition models
arxiv
PublishedApril 27, 2026 at 4:00 AM
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Identifying and typifying demographic unfairness in phoneme-level embeddings of self-supervised speech recognition models

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arXiv:2604.22631v1 Announce Type: new Abstract: Modern automatic speech recognition (ASR) systems have been observed to function better for certain speaker groups (SGs) than others, despite recent gains in overall performance. One potential impediment to progress towards fairer ASR is a more nuanced

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