Speech Emotion Recognition on LSSED 1.0 (test)
62.4WAPyResNet
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PyResNetBackbone=ResNet1522021.01 | 62.4 | 42.9 | |
| PyResNetBackbone=ResNet1012021.01 | 61.6 | 42.8 | |
| PyResNetBackbone=ResNet502021.01 | 61.5 | 42 | |
| VGGBackbone=VGG132021.01 | 60.4 | 39.3 | |
| ResNetBackbone=ResNet1522021.01 | 60.1 | 39.6 | |
| ResNetBackbone=ResNet342021.01 | 59.8 | 35.5 | |
| VGGBackbone=VGG112021.01 | 59.5 | 33.7 | |
| ResNetBackbone=ResNet182021.01 | 59.4 | 38.2 | |
| ResNetBackbone=ResNet1012021.01 | 59.2 | 33.2 | |
| ResNetBackbone=ResNet502021.01 | 58.7 | 37.7 | |
| MTS-3branchesBackbone=ResNet1522021.01 | 58.5 | 29.6 | |
| VGGBackbone=VGG162021.01 | 58.5 | 31.3 | |
| VGGBackbone=VGG192021.01 | 58.5 | 37 | |
| MTS-5branchesBackbone=ResNet1522021.01 | 58.2 | 31.1 | |
| FCN-AttentionBackbone=ALEXNet2021.01 | 57 | 25 | |
| MTS-3branchesBackbone=ALEXNet2021.01 | 57 | 25 | |
| MTS-5branchesBackbone=ALEXNet2021.01 | 57 | 25 | |
| ADV-RealBackbone=VGG162021.01 | 57 | 25 | |
| ADV-FakeBackbone=VGG162021.01 | 57 | 25 | |
| ADV-RealBackbone=ResNet1522021.01 | 54.8 | 38.1 | |
| ADV-FakeBackbone=ResNet1522021.01 | 45.3 | 33.9 |