RIRplay: Generation of a Replay Stereo Corpus for Voice Biometrics Anti-Spoofing

Summary

The RIRplay paper presents a simulated replay-attack speech corpus for voice biometric anti-spoofing, aimed at Physical Access attacks where real audio samples are hard to collect. The authors built it to reproduce the spoofing process across a wide range of acoustic contexts. Training on RIRplay cut the Equal Error Rate on the ASVspoof 2021 evaluation set from 36.89% to 28.04%, compared with models trained on ASVspoof 2019, showing better out-of-domain generalization.

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