Our project is an AI-powered voice cloning detection system that identifies whether an audio recording is a genuine human voice or an AI-generated/deepfake voice. It uses audio preprocessing and a trained AI model to analyze the voice and provide a REAL/AI-GENERATED prediction with confidence and risk level. The system also provides audio visualizations such as waveforms and spectrograms to help users understand the analysis.
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