Voice Anti-spoofing
12 papers with code • 3 benchmarks • 5 datasets
Discriminate genuine speech and spoofing attacks
Most implemented papers
Cross-modal information fusion for voice spoofing detection
Researchers have proposed many methods to defend against these attacks, but in the existing methods, researchers just focus on speech features.
LRPD: Large Replay Parallel Dataset
The latest research in the field of voice anti-spoofing (VAS) shows that deep neural networks (DNN) outperform classic approaches like GMM in the task of presentation attack detection.