most citedSignificance of Speaker Embeddings and Temporal Context for Depression Detection

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cs.SD2024

Predicting Individual Depression Symptoms from Acoustic Features During Speech

Sebastian Rodriguez, Sri Harsha Dumpala, Katerina Dikaios +3

Current automatic depression detection systems provide predictions directly without relying on the individual symptoms/items of depression as denoted in the clinical depression rat…