2024
CPAUG: Refining Copy-Paste Augmentation for Speech Anti-Spoofing
ICASSP 2024accepted
Conventional copy-paste augmentations generate new training instances by concatenating existing utterances to increase the amount of data for neural network training. However, the direct application of copy-paste augmentation for anti-spoofing is problematic. This paper refines the copy-paste augmen…