AI RESEARCH
Investigating the Impact of Speech Enhancement on Audio Deepfake Detection in Noisy Environments
arXiv CS.LG
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ArXi:2603.14767v1 Announce Type: cross Logical Access (LA) attacks, also known as audio deepfake attacks, use Text-to-Speech (TTS) or Voice Conversion (VC) methods to generate spoofed speech data. This can represent a serious threat to Automatic Speaker Verification (ASV) systems, as intruders can use such attacks to bypass voice biometric security. In this study, we investigate the correlation between speech quality and the performance of audio spoofing detection systems (i.e., LA task