arXiv AI
AudiPsy: Evidence-Grounded Multimodal Reasoning over Spoken Counseling Conversations for Depression Assessment
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Explainable Multimodal Depression Recognition in Clinical Interviews via PHQ-Aligned Symptom Summarization
arXiv:2501. 16106v2 Announce Type: replace Abstract: Recent advances in multimodal depression recognition for clinical interviews (MDRC) have demonstrated the potential of AI systems by integrating textual, acoustic, and facial cues.
arXiv Computation and Language
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Evidence-Bounded Mental Health Reasoning from Heterogeneous Speech Protocols
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arXiv AI
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Can Conversational Temporal Dynamics Improve Depression Detection in Dyads? A Preliminary Investigation in Multi-Modality Perspectives
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CLEAR: Coupling Local Evidence with Affective Representations for Multimodal Emotion Recognition in Conversation
arXiv:2605.18547v2 Announce Type: replace Abstract: In video calls and livestreamed discussions, recognizing speakers' emotions helps identify emotionally salient segments and supports fine-grained v...
arXiv AI
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EmoTrack: Clinical-Semantic Modeling for Text-Based Depression Severity Estimation
arXiv:2605.22286v2 Announce Type: replace-cross Abstract: Text-based counseling provides a valuable source of information for assessing depression severity. We study prediction of the total score on...