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Detecting the Severity of Major Depressive Disorder from Speech: A Novel HARD-Training Methodology. (arXiv:2206.01542v1 [cs.SD])
June 6, 2022, 1:10 a.m. | Edward L. Campbell, Judith Dineley, Pauline Conde, Faith Matcham, Femke Lamers, Sara Siddi, Laura Docio-Fernandez, Carmen Garcia-Mateo, Nicholas Cummi
cs.LG updates on arXiv.org arxiv.org
Major Depressive Disorder (MDD) is a common worldwide mental health issue
with high associated socioeconomic costs. The prediction and automatic
detection of MDD can, therefore, make a huge impact on society. Speech, as a
non-invasive, easy to collect signal, is a promising marker to aid the
diagnosis and assessment of MDD. In this regard, speech samples were collected
as part of the Remote Assessment of Disease and Relapse in Major Depressive
Disorder (RADAR-MDD) research programme. RADAR-MDD was an observational cohort …
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