AntiFake: Using Adversarial Audio to Prevent Unauthorized Speech Synthesis
Zhiyuan Yu, Shixuan Zhai, Ning Zhang
Abstract
The rapid development of deep neural networks and generative AI has catalyzed growth in realistic speech synthesis. While this technology has great potential to improve lives, it also leads to the emergence of ''DeepFake'' where synthesized speech can be misused to deceive humans and machines for nefarious purposes. In response to this evolving threat, there has been a significant amount of interest in mitigating this threat by DeepFake detection.
Topics & Concepts
Adversarial systemComputer scienceGenerative grammarDeep neural networksGenerative adversarial networkArtificial neural networkArtificial intelligenceSpeech recognitionComputer securityDeep learningSpeech Recognition and SynthesisSpeech and Audio ProcessingMusic and Audio Processing