Sound of Aging: Large-Scale Evidence for a Voice-Based Biological Clock

Abstract Using 30-second voice recordings from 7,081 adults aged 40–70, we trained gender-specific models to estimate voice-predicted age (Voice Age). Voice Age correlated with chronological age comparably to established omic and physiological aging clocks, while capturing an independent dimension of biological aging. Accelerated vocal aging showed association with higher adiposity, impaired sleep physiology, and cardiometabolic risk markers, supporting voice as a scalable, non-invasive functional aging biomarker.