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Spoofing Detection on ASVspoof 5 (eval)

2.57EERXLS-R + RAT
2.45043.25774.0654.8723Jun 7, 2026Jun 8, 2026Jun 9, 2026

Evaluation results

MethodLinks
XLS-R + RATReference type=zero reference, Degradation=Silence2026.062.570.074
T43 (ASVspoof 5 winner)Model type=12-model fusion2026.062.590.075
XLS-R + RATReference type=with reference, Degradation=None (paired inference)2026.062.630.075
XLS-R + RATDegradation=Additive Noise (10 dB)2026.062.630.075
XLS-R + RATDegradation=Truncation (3 s)2026.062.630.074
XLS-R + RATDegradation=Mismatched2026.062.630.075
XLS-R + RATDegradation=Additive Noise (20 dB)2026.062.640.075
XLS-R + RATDegradation=Truncation (1 s)2026.062.650.075
XLS-R + RATDegradation=Noise Only2026.062.680.077
T27Challenge=ASVspoof 5 Challenge, Track=Track 1 Open Condition2026.063.3—
T36Challenge=ASVspoof 5 Challenge, Track=Track 1 Open Condition2026.063.37—
XLS-R + RATInference mode=test only2026.063.580.104
WavLM + Hybrid Pruning2026.063.750.103
T23Challenge=ASVspoof 5 Challenge, Track=Track 1 Open Condition2026.064.23—
T43Challenge=ASVspoof 5 Challenge, Track=Track 1 Open Condition2026.064.33—
XLS-R + mean poolingPooling=mean2026.064.870.141
MHFA-IVSpk-VIB2026.065.19—
WavLM-SLIM2026.065.560.149