Audio Anti-spoofing Using a Simple Attention Module and Joint Optimization Based on Additive Angular Margin Loss and Meta-learning. (arXiv:2211.09898v1 [cs.SD])

Automatic speaker verification systems are vulnerable to a variety of access
threats, prompting research into the formulation of effective spoofing
detection systems to act as a gate to filter out such spoofing attacks. This
study introduces a simple attention module to infer 3-dim attention weights for
the feature map in a convolutional layer, which then optimizes an energy
function to determine each neuron's importance. With the advancement of both
voice conversion and speech synthesis technologies, unseen spoofing attacks are
constantly …

angular arxiv attention audio loss meta meta-learning optimization