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ToolDF: Tool-Integrated Reasoning for Mixed-Authenticity Audio Deepfake Detection

Kim, Taewoo et al.
arXiv (All) · Papers
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artificial-intelligenceaudio-and-speech-processingsound
Audio deepfake detection is commonly formulated as clip-level binary classification of single-domain audio. However, real-world manipulated audio can exhibit mixed authenticity, where genuine and manipulated cues coexist across temporal transitions, overlapping sources, or both. This setting require
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