Scientists used six to 10 seconds of people’s voice, along with basic health data, including age, sex, height, and weight, to create an AI model.

    • swope@kbin.social
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      1 year ago

      I didn’t read it, but my first thought was they trained it to associate speech patterns with wealth and/or education, which correlates with diabetes for all the usually reasons in the US health non-care system.

      Edit: I’m probably wrong:

      The scientists analysed more than 18,000 recordings and 14 acoustic features for differences between those who had diabetes and those who did not.

      They looked at a number of vocal features, like changes in pitch and intensity that cannot be perceived by the human ear.