Speech Emotion Recognition on Emozionalmente Italian (test)
0.7217Weighted Accuracy (WA)PhysioSER
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| PhysioSERBackbone=WavLM2026.02 | 0.7217 | 0.7198 | 0.7201 | |
| PhysioSERBackbone=Emotion2Vec2026.02 | 0.6833 | 0.6798 | 0.679 | |
| PhysioSERBackbone=BEATs2026.02 | 0.6819 | 0.6797 | 0.6799 | |
| WavLMConfiguration=Backbone-only2026.02 | 0.6804 | 0.6818 | 0.6798 | |
| BEATsConfiguration=Backbone-only2026.02 | 0.6725 | 0.6738 | 0.6721 | |
| Emotion2VecConfiguration=Backbone-only2026.02 | 0.5993 | 0.6015 | 0.6008 | |
| PhysioSERBackbone=HuBERT2026.02 | 0.583 | 0.5919 | 0.5797 | |
| HuBERTConfiguration=Backbone-only2026.02 | 0.5658 | 0.5673 | 0.554 | |
| PhysioSERBackbone=CLAP2026.02 | 0.4978 | 0.4971 | 0.4975 | |
| CLAPConfiguration=Backbone-only2026.02 | 0.4616 | 0.4601 | 0.4574 | |
| PhysioSERBackbone=Wav2vec22026.02 | 0.4558 | 0.4549 | 0.4562 | |
| Wav2vec2Configuration=Backbone-only2026.02 | 0.3616 | 0.3657 | 0.3483 |