#one-class-learning News & Analysis

QAMO: Quality-aware Multi-centroid One-class Learning For Speech Deepfake Detection

Researchers introduce QAMO, a machine learning system that improves speech deepfake detection by using multiple quality-aware centroids instead of a single centroid to model genuine speech. The approach achieves a 5.09% error rate on challenging real-world datasets, advancing security in voice authentication and synthetic media detection.