Speech Emotion Recognition on nEMO Polish (test)
0.9364Weighted AccuracyPhysioSER
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| PhysioSERBackbone=BEATs2026.02 | 0.9364 | 0.934 | 0.9348 | |
| PhysioSERBackbone=WavLM2026.02 | 0.9063 | 0.9056 | 0.9057 | |
| PhysioSERBackbone=Emotion2Vec2026.02 | 0.8683 | 0.864 | 0.8668 | |
| BEATsConfiguration=Backbone-only2026.02 | 0.8616 | 0.8574 | 0.8577 | |
| PhysioSERBackbone=CLAP2026.02 | 0.856 | 0.8536 | 0.8548 | |
| PhysioSERBackbone=HuBERT2026.02 | 0.8292 | 0.8274 | 0.8263 | |
| PhysioSERBackbone=Wav2vec22026.02 | 0.7746 | 0.7676 | 0.7724 | |
| Emotion2VecConfiguration=Backbone-only2026.02 | 0.7701 | 0.7661 | 0.767 | |
| WavLMConfiguration=Backbone-only2026.02 | 0.75 | 0.7457 | 0.7444 | |
| HuBERTConfiguration=Backbone-only2026.02 | 0.6685 | 0.6607 | 0.6574 | |
| CLAPConfiguration=Backbone-only2026.02 | 0.6663 | 0.662 | 0.6602 | |
| Wav2vec2Configuration=Backbone-only2026.02 | 0.3761 | 0.367 | 0.3393 |