AnalysisAI ModelsAugust 25, 2026

AT-ADD benchmark targets all-type audio deepfake detection

Read original source →arxiv.org

AT-ADD is a new benchmark and challenge for robust, all-type audio deepfake detection covering speech, environmental sound, singing voice, and music. It includes a hidden-domain routing track (Track2) where audio type is unavailable at inference.

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