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Measuring Depression Symptom Severity from Spoken Language and 3D Facial Expressions
[article]
2018
arXiv
pre-print
With more than 300 million people depressed worldwide, depression is a global problem. Due to access barriers such as social stigma, cost, and treatment availability, 60% of mentally-ill adults do not receive any mental health services. Effective and efficient diagnosis relies on detecting clinical symptoms of depression. Automatic detection of depressive symptoms would potentially improve diagnostic accuracy and availability, leading to faster intervention. In this work, we present a machine
arXiv:1811.08592v2
fatcat:axnidcyxi5gu7obx42p3xjiexi