Framework applies XAI feature selection to low-complexity ML models for interpretable, fair speech-based depression detection on DAIC-WOZ, claiming 82% accuracy as state-of-the-art.
Silero V AD: Pre-trained enterprise-grade voice activity detector (V AD), number detector and language classifier,
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A Fair and Transparent Framework for Speech-Based Depression Detection: Balancing Interpretability and Performance
Framework applies XAI feature selection to low-complexity ML models for interpretable, fair speech-based depression detection on DAIC-WOZ, claiming 82% accuracy as state-of-the-art.