Speech Emotion Recognition On Ravdess
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy |
|---|---|
| a-proposal-for-multimodal-emotion-recognition | 81.82% |
| a-vector-quantized-masked-autoencoder-for | 84.1 |
| multimodal-emotion-recognition-on-ravdess | 76.58% |
| multimodal-emotion-recognition-on-ravdess | 61.67% |
| shallow-over-deep-neural-networks-a-empirical | 82.99% |