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A training-free self-embedding strategy can significantly enhance the detection of partial deepfake speech, even when only small segments are manipulated.
Artifact-specific experts can provide interpretable evidence in speech deepfake detection, transforming how we assess synthetic audio authenticity.
RL fine-tuning with GRPO can significantly boost the generalization of speech deepfake detectors to unseen attacks, outperforming standard supervised methods.
Repurpose Whisper as a deepfake detector and you can transcribe and spot synthetic words in one pass, rivaling dedicated models.