Navigating Audio Authenticity Challenges

This chapter explores the intricate landscape of audio synthesis and voice conversion, focusing on the ASV Spoof dataset and the challenges of detecting synthetic audio versus real recordings. It addresses the vulnerabilities of voice authentication systems in a fraud context and discusses evolving detection strategies to combat audio-based attacks. The importance of collaboration between machine learning models and human judgment in identifying manipulated content is emphasized, highlighting the ongoing arms race between fraudsters and detection technologies.