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Deepfake-Audio-Detection-with-XAI

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This project focuses on detecting deepfake audio using advanced neural network architectures like VGG16, MobileNet, ResNet, and custom CNNs. It incorporates explainable AI (XAI) methods like LIME, Grad-CAM, and SHAP to enhance detection accuracy and provide insights into model predictions.

Creat2024-02-16T10:36:58
Update2025-06-13T21:55:28
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