Audio Deepfake Detection Comparison Hub
5 papers - avg viability 5.4
Top Papers
- Do Compact SSL Backbones Matter for Audio Deepfake Detection? A Controlled Study with RAPTOR(7.0)
RAPTOR is a compact and robust audio deepfake detection system leveraging multilingual HuBERT pre-training for cross-domain performance, outperforming larger commercial systems.
- HyperPotter: Spell the Charm of High-Order Interactions in Audio Deepfake Detection(6.0)
Introducing HyperPotter, a hypergraph-based audio deepfake detection tool leveraging high-order interactions to significantly improve detection accuracy.
- Audio Deepfake Detection in the Age of Advanced Text-to-Speech models(5.0)
A multi-view detection tool for robust audio deepfake identification across varying text-to-speech architectures.
- Investigating the Impact of Speech Enhancement on Audio Deepfake Detection in Noisy Environments(5.0)
A study evaluating speech enhancement algorithms to improve audio deepfake detection in noisy environments.
- Gender Fairness in Audio Deepfake Detection: Performance and Disparity Analysis(4.0)
A fairness-aware approach to improve audio deepfake detection by analyzing gender disparities.