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From Scores to Evidence: Auditable Decisions Can Improve Speech Deepfake Detection

Geng, Mengzhe et al.
arXiv (OAI Expanded) · Papers
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Speech deepfake detectors usually emit one score per utterance, but a borderline score does not reveal why two examples differ during retrospective error analysis. We ask whether a final score can be calibrated from component fields while keeping those fields visible for inspection. We build a decis
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