RBF SVM achieves ~93% accuracy and ~7% EER on deepfake audio detection using prosodic and spectral features from the FoR dataset at 44.1 kHz and 16 kHz sampling rates.
Descriptor: Voice pre-processing and quality assessment dataset (VPQAD)
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Classical Machine Learning Baselines for Deepfake Audio Detection on the Fake-or-Real Dataset
RBF SVM achieves ~93% accuracy and ~7% EER on deepfake audio detection using prosodic and spectral features from the FoR dataset at 44.1 kHz and 16 kHz sampling rates.