Audio Anti-Spoofing Detection: A Survey

arXiv:2404.13914v1 Announce Type: cross
Abstract: The availability of smart devices leads to an exponential increase in multimedia content. However, the rapid advancements in deep learning have given rise to sophisticated algorithms capable of manipulating or creating multimedia fake content, known as Deepfake. Audio Deepfakes pose a significant threat by producing highly realistic voices, thus facilitating the spread of misinformation. To address this issue, numerous audio anti-spoofing detection challenges have been organized to foster the development of anti-spoofing countermeasures. This survey …

algorithms arxiv audio availability cs.cr cs.mm cs.sd deepfake deepfakes deep learning detection devices eess.as fake multimedia producing rapid smart smart devices spoofing survey threat