most citedAn interpretable speech foundation model for depression detection by revealing prediction-relevant acoustic features from long speech

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cs.SD2026★ 3 cited

An interpretable speech foundation model for depression detection by revealing prediction-relevant acoustic features from long speech

Qingkun Deng, Saturnino Luz, Sofia de la Fuente Garcia

Speech-based depression detection tools could aid early screening. Here, we propose an interpretable speech foundation model approach to enhance the clinical applicability of such…