Diffusion reconstruction creates hard samples for audio deepfake detection training, and when paired with feature aggregation and RACL, it reduces average EER versus baselines.
Audio deepfake detection with self-supervised xls-r and sls classifier,
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Diffusion Reconstruction towards Generalizable Audio Deepfake Detection
Diffusion reconstruction creates hard samples for audio deepfake detection training, and when paired with feature aggregation and RACL, it reduces average EER versus baselines.