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ParaCalib: Semantically Calibrated Paralinguistic Modeling for Depression Detection
Vocal behavior provides important signals for speech-based depression detection, but its interpretation often depends on what is being said and how it functions in context. However, existing methods typically treat acoustic cues as context-independent markers, making it difficult to distinguish voca
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