3 papers
cs.SD2024
Self-Supervised Embeddings for Detecting Individual Symptoms of Depression
Sri Harsha Dumpala, Katerina Dikaios, Abraham Nunes +3
Depression, a prevalent mental health disorder impacting millions globally, demands reliable assessment systems. Unlike previous studies that focus solely on either detecting depre…
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…
cs.LG2024
Test-Time Training for Depression Detection
Sri Harsha Dumpala, Chandramouli Shama Sastry, Rudolf Uher +1
Previous works on depression detection use datasets collected in similar environments to train and test the models. In practice, however, the train and test distributions cannot be…