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National University of Science and Technology POLITEHNICA
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A lightweight audio deepfake detection tool that outperforms existing models while preserving user privacy by operating entirely on-device.
Achieving spoken word segmentation without any text supervision, this method outperforms traditional neural approaches while enhancing interpretability.
Achieving 99.76% accuracy in TTS source attribution, this framework redefines the standards for audio forensics in the era of deepfake audio.