Speech Emotion Recognition On Iemocap
Métriques
WA
WA CV
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | WA | WA CV |
|---|---|---|
| a-fine-tuned-wav2vec-2-0-hubert-benchmark-for | 0.796 | 0.730 |
| speech-emotion-recognition-with-multi-task | - | - |
| improving-speech-emotion-recognition | - | - |
| speech-emotion-recognition-using-speech | 0.755 | - |
| emodarts-joint-optimisation-of-cnn-sequential | - | 0.7803 |
| speaker-normalization-for-self-supervised | 0.810 | 0.742 |
| cnnlstm-architecture-for-speech-emotion | - | - |
| empirical-interpretation-of-speech-emotion | 0.805 | - |