arXiv NLP
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Towards Interpretable Depression Detection: Linking Acoustic Features to DSM-5 Indicatorstranslating…
1 min readUnknownarXiv Press Group
arXiv:2608.26148v1 Announce Type: new
Abstract: Depression affects millions worldwide, yet diagnosis relies on subjective self-reports that may miss authentic behavior. This paper presents an approach linking speech acoustics to DSM-5 depressive-behavior indicators through a…