How Voice AI Is Detecting Depression from Your Speech Patterns

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How Voice AI Is Detecting Depression from Your Speech Patterns

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In Episode 67 of The Digital Health Podcast, Lucas and Luna explore how artificial intelligence is analyzing vocal biomarkers to screen for depression and mental health conditions. They focus on the work of companies like Kintsugi and Sonde Health, which use voice recordings to detect subtle changes in pitch, tone, and rhythm that correlate with depression. Lucas explains the science behind vocal biomarkers—how depression affects the muscles that control the vocal cords, leading to flattened prosody. Luna raises privacy concerns about voice data being recorded without consent, and they discuss ethical frameworks being developed. The hosts also connect this to the broader trend of passive mental health monitoring, where apps can detect depression from your phone microphone without you speaking at all. A concrete, forward-looking conversation about the promise and peril of AI listening for mental health. #DigitalHealth #MentalHealth #AI #VoiceAI #DepressionDetection #VocalBiomarkers #Kintsugi #SondeHealth #HealthTech #Business #Technology #MachineLearning #Privacy #Ethics #PassiveMonitoring #HealthcareInnovation #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

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