Voice and Depression
Researchers are exploring how voice features can indicate depression, utilizing advanced audio engineering to extract over 700 vocal characteristics from recordings. By combining this rich data with genetic information from thousands of individuals, the goal is to identify predictive features for depression. This innovative approach could lead to early interventions, potentially alerting healthcare providers to patients in need before they even recognize their own struggles.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
SDS 547: How Genes Influence Behavior — with Prof. Jonathan Flint
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