Muteb Aljasem

Abstract Audio spoofing attacks, specifically deepfakes, are massively used these days to compromise the security of automatic speaker verification-based systems, leading to data breaches and financial scams. Existing audio spoofing countermeasures are not well-generalized and experience issues when detecting unknown spoofing attacks, including deepfake. Moreover, Arabic audio spoofing detection has been largely neglected, primarily due to the scarcity of Arabic language spoofing datasets.