Speech Emotion Recognition On Ravdess
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
Model Name | 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% |