AI RESEARCH
Listening Deepfake Detection: A New Perspective Beyond Speaking-Centric Forgery Analysis
arXiv CS.CV
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ArXi:2604.12650v1 Announce Type: new Existing deepfake detection research has primarily focused on scenarios where the manipulated subject is actively speaking, i.e., generating fabricated content by altering the speaker's appearance or voice. However, in realistic interaction settings, attackers often alternate between falsifying speaking and listening states to mislead their targets, thereby enhancing the realism and persuasiveness of the scenario.