Speech Emotion Recognition On Emodb Dataset
Metrics
Accuracy
F1
Results
Performance results of various models on this benchmark
Model Name | Accuracy | F1 | Paper Title | Repository |
|---|---|---|---|---|
| VQ-MAE-S-12 (Frame) + Query2Emo | 90.2 | 0.891 | A vector quantized masked autoencoder for speech emotion recognition | - |
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