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Role-guided Speaker Deletion Verification in Clinical Psychiatry Speech Recordings with Audio Language Models

arXiv cs.LG ↗ · 2026-10-02 Cached

Icahn School of Medicine at Mount Sinai researchers evaluate four open-weight audio-language models on verifying whether a targeted speaker (clinician or patient) was fully removed from 48 dyadic psychiatry recordings, finding that a disjunctive OR ensemble over fourteen model-view configurations achieves F1 of 0.478 driven by recall gains.

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