Scientists build 'speech clock' that estimates biological age from voice patterns
Researchers led by neuroscientist Agustín Ibáñez at Adolfo Ibáñez University created an algorithm that analyzes hundreds of vocal traits, including pitch and speaking speed, from four-minute recordings to estimate a person's age. The team found that a large gap between this speech-predicted age and a person's actual age was strongly linked to cognitive problems associated with conditions like dementia, according to findings published in Science Advances.