Fake Audio Detection Project
%20and%20voice%20conversion%20(VC)%20systems%20enabling%20the%20generation%20of%20ultra-realistic%20audio%20deepfakes%2C%20there%20is%20growing%20concern%20about%20their%20potential%20misuse.%20However%2C%20most%20deepfake%20(DF)%20detection%20methods%20rely%20solely%20on%20the%20fuzzy%20knowledge%20learned%20by%20a%20single%20model%2C%20resulting%20in%20performance%20bottlenecks%20and%20transparency%20issues.%20Inspired%20by%20retrieval-augmented%20generation%20(RAG)%2C%20we%20propose%20a%20retrieval-augmented%20detection%20(RAD)%20framework%20that%20augments%20test%20samples%20with%20similar%20retrieved%20samples%20for%20enhanced%20detection.%20We%20also%20extend%20the%20multi-fusion%20attentive%20classifier%20to%20integrate%20it%20with%20our%20proposed%20RAD%20framework.%20Extensive%20experiments%20show%20the%20superior%20performance%20of%20the%20proposed%20RAD%20framework%20over%20baseline%20methods%2C%20achieving%20state-of-the-art%20results%20on%20the%20ASVspoof%202021%20DF%20set%20and%20competitive%20results%20on%20the%202019%20and%202021%20LA%20sets.%20Further%20sample%20analysis%20indicates%20that%20the%20retriever%20consistently%20retrieves%20samples%20mostly%20from%20the%20same%20speaker%20with%20acoustic%20characteristics%20highly%20consistent%20with%20the%20query%20audio%2C%20thereby%20improving%20detection%20performance.)
![How to Clone Realistic Voice using AI [DEEPFAKE] (a little scary ...](https://i.ytimg.com/vi/VYPzrntwXyA/maxresdefault.jpg)
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