Your voice may reveal how fast and how well you’re aging

A large study shows that machine-learning clocks based on speech can estimate chronological age and may also offer a window into brain aging, biological aging, cognitive health, cumulative burden and dementia.

The study, published in the journal Science Advances, describes a “speech clock” that estimates a person’s chronological age from hundreds of acoustic and linguistic characteristics of their speech. The difference between a person’s actual age and their speech-predicted age (called the speech age gap) was also associated with multiple independent markers of biological aging, brain health, cognition, social adversity and dementia.

The study analyzed 2,928 Spanish-speaking participants from Argentina, Chile, Colombia, Mexico and Peru, including healthy adults and people with mild cognitive impairment, Alzheimer’s disease and different forms of frontotemporal dementia.

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