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Physiological-Physical Feature Fusion for Automatic Voice Spoofing Detection
[article]
2021
arXiv
pre-print
Speaker verification systems have been used in many production scenarios in recent years. Unfortunately, they are still highly prone to different kinds of spoofing attacks such as voice conversion and speech synthesis, etc. In this paper, we propose a new method base on physiological-physical feature fusion to deal with voice spoofing attacks. This method involves feature extraction, a densely connected convolutional neural network with squeeze and excitation block (SE-DenseNet), multi-scale
arXiv:2109.00913v1
fatcat:a2y477ankzhvllzfluea4x6bhe