ASSERT: Anti-Spoofing with Squeeze-Excitation and Residual neTworks
Table 4: Primary, single and baseline systems for ASVspoof 2019. Single system is based on SENet34; primary system is a fusion of five systems based on: SENet34, Mean-Std ResNet (CQCC, logspec), SENet50 and Dilated ResNet.
['System', 'Development t-DCF [ITALIC] minnorm', 'Development EER', 'Evaluation t-DCF [ITALIC] minnorm', 'Evaluation EER']
The single system is based on SENet34 (logspec), and the primary system is a system combination of five single systems based on SENet34 (logspec), Mean-Std ResNet (CQCC, logspec), SENet50 (logspec) and Dilated ResNet (logspec). Systems are trained separately for PA and LA. We can observe that ASSERT generalizes well across dev and eval for PA, nevertheless, it overfits on dev for LA. Our primary system further gains 93% and 95% relative improvements over CQCC-GMM on eval t-DCF and EER for PA, and 27% and 17% relative improvements over LFCC-GMM on eval t-DCF and EER for LA.