Audio Decoding on Audio benchmark windowed (test)
0.339Mean Pearson rCORTEG
Evaluation Results
| Method | Links | |
|---|---|---|
| CORTEGTrainable Parameters=297 K, Type=Pooled2026.05 | 0.339 | |
| CORTEGTrainable Parameters=297 K, Type=LOO-FT2026.05 | 0.331 | |
| CNN-LSTMTrainable Parameters=557 K, Type=Deep, multi-band wavelet2026.05 | 0.261 | |
| HiLoFuseNetTrainable Parameters=334 K, Type=Deep, LFS + HGA dual-stream2026.05 | 0.259 | |
| CORTEGTrainable Parameters=297 K, Type=Per-subject2026.05 | 0.25 | |
| Ridge_LFSTrainable Parameters=—, Type=Linear, LFS only2026.05 | 0.224 | |
| PLSTrainable Parameters=—, Type=Linear, multi-band wavelet2026.05 | 0.203 | |
| HOPLSTrainable Parameters=—, Type=Tensor latent-factor, multi-band2026.05 | 0.203 | |
| LSTM_LFSTrainable Parameters=361 K, Type=Deep, LFS only2026.05 | 0.198 | |
| Ridge_HGATrainable Parameters=—, Type=Linear, HGA only2026.05 | 0.175 | |
| LSTM_HGATrainable Parameters=361 K, Type=Deep, HGA only2026.05 | 0.137 | |
| DeepFingerNetTrainable Parameters=1.16 M, Type=Deep, multi-band wavelet (UNet++)2026.05 | 0.085 |