most citedToward Improving Synthetic Audio Spoofing Detection Robustness via Meta-Learning and Disentangled Training With Adversarial Examples

9 citations · 9 across the 1 of their papers we have counts for

collaborators

1 paper

cs.SD2024★ 9 cited

Toward Improving Synthetic Audio Spoofing Detection Robustness via Meta-Learning and Disentangled Training With Adversarial Examples

Zhenyu Wang, John H. L. Hansen

Advances in automatic speaker verification (ASV) promote research into the formulation of spoofing detection systems for real-world applications. The performance of ASV systems can…