Speech Emotion Recognition on Oréau French (test)
84Weighted Accuracy (WA)PhysioSER
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| PhysioSERBackbone=WavLM2026.02 | 84 | 84.05 | 83.78 | |
| PhysioSERBackbone=Emotion2Vec2026.02 | 77 | 78.38 | 78.35 | |
| WavLMConfiguration=Backbone-only2026.02 | 58 | 60.67 | 58.83 | |
| PhysioSERBackbone=HuBERT2026.02 | 58 | 60.55 | 58.4 | |
| PhysioSERBackbone=BEATs2026.02 | 52 | 55.46 | 51.5 | |
| BEATsConfiguration=Backbone-only2026.02 | 51 | 54.02 | 50.79 | |
| HuBERTConfiguration=Backbone-only2026.02 | 46 | 49.09 | 45.22 | |
| PhysioSERBackbone=CLAP2026.02 | 46 | 46.6 | 45.46 | |
| Emotion2VecConfiguration=Backbone-only2026.02 | 45 | 46.24 | 43.77 | |
| PhysioSERBackbone=Wav2vec22026.02 | 44 | 45.35 | 44.62 | |
| CLAPConfiguration=Backbone-only2026.02 | 36 | 36.37 | 31.75 | |
| Wav2vec2Configuration=Backbone-only2026.02 | 28 | 30.5 | 23.38 |