Study finds OpenAI Whisper transcribes older voices more accurately than younger ones

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A researcher has published findings on GitHub showing that OpenAI's Whisper speech recognition model transcribes 70-year-old speakers more accurately than 20-year-old speakers. The project, titled 'asr-age-gap', investigates age-related performance disparities in automatic speech recognition systems. The findings suggest that Whisper may have been trained on data that better represents older speech patterns, leading to uneven accuracy across age groups. The research highlights a potential bias in widely used ASR models that could affect younger users disproportionately.

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