Voice Cloning Attack

Voice cloning attacks exploit advancements in AI to impersonate individuals' voices, posing significant security risks to voice-controlled systems and authentication methods. Current research focuses on developing robust detection mechanisms, such as timbre watermarking and parallel aggregation networks for analyzing audio features to identify spoofed speech, as well as proactive defense strategies like real-time perturbation injection to protect live speech streams. These efforts aim to enhance the security of voice-based technologies by improving the accuracy and efficiency of both detection and prevention methods, addressing vulnerabilities in speaker verification and voice assistant systems.