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Open access Sep 2026

Dual-modality modeling for depression detection using speech signals

A dual-modality framework for automated depression detection using speech signals, capturing both what individuals say (text) and how they say it (vocal cues) from speech recordings, indicating that modality contribution may vary across datasets.

Na Wang, Jing Li, Wei-Jia Zhang et al. · 0 citations

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