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.
Speaker verification using adapted Gaussian mixture models
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.AS 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.