Physiological-physical feature fusion for automatic voice spoofing detection

Biometric speech recognition systems are often subject to various spoofing attacks, the most common of which are speech synthesis and speech conversion attacks. These spoofing attacks can cause the biometric speech recognition system to incorrectly accept these spoofing attacks, which can compromise the security of this system. Researchers have made many efforts to address this problem. But existing voice spoofing detection methods only consider the physical features of speech, resulting in poor detection performance.

accept attacks automatic biometric compromise computer sciences detection fusion physical recognition researchers security speech spoofing system systems voice