paper
RAT: Reference-Augmented Training for ASV Anti-Spoofing
paperactiveprovisional
rat-reference-augmented-training-for-asv-anti-spoofing-5663735f·1 events·first seen 7d agoAliases: RAT: Reference-Augmented Training for ASV Anti-Spoofing
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ASVspoof 5Reference-Augmented TrainingFrom Self-Supervised Speech Models to Mixture-of-Experts for Robust Anti-SpoofingAutomated Reference Verification SystemART (Agent Reinforcement Trainer)Automatic Speech RecognitionQuantisation-Aware Training (QAT)Verifier-in-the-Loop Training (ViL)Voice Activity Detection (VAD)AdaSRFunASRSelf-Trained Verification (STV)
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RAT: Reference-Augmented Training improves deepfake audio detection without reference at inference
Researchers introduce Reference-Augmented Training (RAT), a training strategy for automatic speaker verification (ASV) anti-spoofing that conditions a model on speaker-reference recordings during training but discovers the model learns to ignore the reference at inference. Counterintuitively, this training regime induces invariances that improve deepfake detection even when the reference is replaced with a zero vector at test time. RAT achieves state-of-the-art 2.57% EER and 0.074 minDCF on the ASVspoof 5 benchmark with a single detector, outperforming large ensemble systems.