arXiv cs.CLPaper
From Scores to Evidence: Auditable Decisions Can Improve Speech Deepfake Detection
The shift from score to explainability matters for adoption. Most deepfake detectors already hit reasonable accuracy; the blocker for deployment is trust in borderline cases. This work treats the decision record itself as the product, not the accuracy number. If you're building deepfake detection for regulated industries, this framework is the direction regulators will push you anyway.