Audit of depression detection benchmarks finds that official splits yield unstable model rankings, zero-shot transfer across datasets is weak, and text models but not audio models improve on symptom-dense interview segments.
Multimodal Mental Health Digital Biomarker Analysis From Remote Interviews Using Facial, Vocal, Linguistic, and Cardiovascular Patterns,
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A Multi-Probe Audit of Clinical-Interview Depression Detection Benchmarks
Audit of depression detection benchmarks finds that official splits yield unstable model rankings, zero-shot transfer across datasets is weak, and text models but not audio models improve on symptom-dense interview segments.