SONAR: Novel Deepfake Detection Method Based on Spectral-Contrastive Audio Residuals

This article introduces SONAR, a new deepfake detection method using spectral-contrastive audio residuals. The research focuses on improving the generalizability of deepfake detection models, an important area given the evolving nature of deepfake creation.

• •SONAR proposes a novel approach to deepfake detection using audio residuals.
• •The method aims to improve the generalizability of detection models.
• •The research contributes to the ongoing effort to combat deepfake technology.