Replay and Synthetic Speech Detection with Res2net Architecture

Understand

Existing approaches for replay and synthetic speech detection still lack generalizability to unseen spoofing attacks.

• This work proposes to leverage a novel model structure, so-called Res2Net, to improve the anti-spoofing countermeasure's generalizability.
• Res2Net mainly modifies the ResNet block to enable multiple feature scales.
• Specifically, it splits the feature maps within one block into multiple channel groups and designs a residual-like connection across different channel groups.