Mixture-of-Experts anti-spoofing built on self-supervised speech models

arXiv·low signal

This work (arXiv 2606.14639, cs.SD/cs.AI) adapts self-supervised speech representations into a Mixture-of-Experts architecture for robust anti-spoofing as synthetic speech becomes more natural and harder to detect. As voice deepfakes proliferate, MoE-based spoofing detection is a relevant defensive building block for any product handling voice authentication or audio provenance.