Speech Emotion Recognition on Emo-DB
99.76Weighted AccuracyStudent
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Studentdepth=3, num head=5, FLOPs=0.32G2024.03 | 99.76 | — | |
| Teacherdepth=6, num head=5, FLOPs=1.43G2024.03 | 99.06 | — | |
| Studentdepth=3, num head=5, FLOPs=0.32G2024.03 | 98.83 | — | |
| Teacherdepth=12, num head=12, FLOPs=3.58G2024.03 | 96.96 | — | |
| Gong et al.depth=12, num head=12, Pre-train=ImageNet, FLOPs=3.32G2024.03 | 96.02 | — | |
| Ristea et al.depth=6, num head=5, FLOPs=175.81G2024.03 | 92.75 | — | |
| LLDs StatsModel=ESR2018.11 | 0.824 | 0.787 | |
| RQA+IS10Model=SVM2018.11 | 0.821 | 0.769 | |
| WSFHM+IS10Model=SVM2018.11 | 0.817 | — | |
| RQA+IS10Model=LR2018.11 | 0.801 | 0.775 | |
| IS10Model=SVM2018.11 | 0.797 | 0.743 | |
| IS10Model=LR2018.11 | 0.761 | 0.719 | |
| RQAModel=LR2018.11 | 0.711 | 0.671 | |
| RQAModel=SVM2018.11 | 0.709 | 0.642 |