An RFP dataset for Real, Fake, and Partially fake audio detection

arXiv:2404.17721v1 Announce Type: cross
Abstract: Recent advances in deep learning have enabled the creation of natural-sounding synthesised speech. However, attackers have also utilised these tech-nologies to conduct attacks such as phishing. Numerous public datasets have been created to facilitate the development of effective detection models. How-ever, available datasets contain only entirely fake audio; therefore, detection models may miss attacks that replace a short section of the real audio with fake audio. In recognition of this problem, the current paper presents …

arxiv attackers attacks audio cs.cr cs.sd dataset datasets deep learning detection development eess.as fake natural phishing public real rfp speech tech