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. 2022 Sep 1;16:971829. doi: 10.3389/fnins.2022.971829

Table 2.

Performance comparison with baselines.

Method DTW/1.636e-3 PSD/1.128e-9 HD/2.886e-6
ASAE (Antoniades et al., 2018) 2.867 ± 0.126 −1.384 ± 1.794 0.490 ± 0.800
AE(*) −0.059 ± 0.815 −1.357 ± 1.659 0.337 ± 0.756
EEGGAN (Hartmann et al., 2018) −0.019 ± 0.624 −0.821 ± 1.457 0.068 ± 0.734
uTSGAN (Smith and Smith, 2021) 3.867 ± 0.012 3.424 ± 0.134 3.127 ± 0.050
Pix2pix (Isola et al., 2017) 0.133 ± 0.829 −1.396 ± 1.754 0.316 ± 0.834
GANSynth (Engel et al., 2019) −0.107 ± 0.740 −0.929 ± 1.453 0.191 ± 0.763
E2SGAN-N −0.424 ± 0.400 0.185 ± 0.298 0.572 ± 0.565
E2SGAN-S −0.414 ± 0.764 −1.480 ± 1.609 −0.221 ± 0.843

AE(*) is implemented with the same architecture as the generator of the proposed method. The bold values indicate the baseline values of evaluation.