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Author

Hengyan Huang

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Preprint Aug 2026

AT-ADD: All-Type Audio Deepfake Detection Challenge Summary

This paper summarizes the ACM Multimedia 2026 AT-ADD Grand Challenge on all-type audio deepfake detection. AT-ADD contains two tracks: robust speech deepfake detection under realistic acoustic and channel variations, and type-agnostic detection over speech, environmental sound, singing voice, and music. We describe the...

Yuan-Kun Xie, Hao-Nan Cheng, Jiayi Zhou et al. · 0 citations

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