AI RESEARCH
Audio Deepfake Detection with Half-Truth Localisation Using Cross-Attentive Feature Fusion
arXiv CS.LG
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ArXi:2605.29531v1 Announce Type: cross Audio deepfake detection is well-studied as a binary problem, but partially manipulated speech, where a short synthesised segment is spliced into an otherwise genuine utterance, poses a harder and realistic threat. Detecting such half-truth audio requires not only distinguishing it from real and fully fake speech, but also localising where the manipulation occurs.