Vulnerability of Voice Verification System with STC Anti-spoofing Detector to Different Methods of Spoofing Attacks

This paper explores the robustness of a text-independent voice verification system against different methods of spoofing attacks based on speech synthesis and voice conversion techniques. Our experiments show that spoofing attacks based on the speech synthesis are most dangerous, but the use of standard TV-JFA approach based spoofing detection module can reduce the False Acceptance error rate of the whole speaker recognition system from 80 % to 1 %.