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How speech models fail where it matters the most and what to do about it

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We demonstrate that voice recognition systems struggle to understand street name pronunciations when speakers have diverse linguistic backgrounds — with an average transcription error rate of 39% across 15 state-of-the-art models, and an 18% accuracy gap between non-English and English primary speakers.

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