Diffusion reconstruction creates hard samples for audio deepfake detection training, and when paired with feature aggregation and RACL, it reduces average EER versus baselines.
Integrating spectro-temporal cross aggregation and multi-scale dynamic learning for audio deepfake detection
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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.