Speech Emotion Recognition On Crema D
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy |
|---|---|
| septr-separable-transformer-for-audio | 70.47 |
| coordvit-a-novel-method-of-improve-vision | 82.96 |
| non-linear-neurons-with-human-like-apical | 65.15 |
| visually-guided-self-supervised-learning-of | 55.01 |
| lerac-learning-rate-curriculum | 70.95 |
| self-paced-ensemble-learning-for-speech-and | 68.12 |
| accuracy-enhancement-method-for-speech | 94.07 |
| bigssl-exploring-the-frontier-of-large-scale | 88.2 |
| ast-audio-spectrogram-transformer | 67.81 |