Partial deepfake speech is detected by scoring unnatural frame-to-frame changes in self-supervised audio embeddings, reaching 0.59% EER on PartialSpoof and 0.03% on HAD with utterance-level labels only.
A survey on speech deepfake detection,
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Frame-level Temporal Difference Learning for Partial Deepfake Speech Detection
Partial deepfake speech is detected by scoring unnatural frame-to-frame changes in self-supervised audio embeddings, reaching 0.59% EER on PartialSpoof and 0.03% on HAD with utterance-level labels only.