Table 5 Class wise performance report in EmoDB dataset for the proposed ensemble model.
From: Speech emotion recognition with light weight deep neural ensemble model using hand crafted features
Class | Precision | Recall | F1-score | Support |
|---|---|---|---|---|
Angry | 0.95 | 1.00 | 0.97 | 52 |
Disgust | 1.00 | 0.94 | 0.97 | 17 |
Fear | 0.97 | 1.00 | 0.98 | 29 |
Happy | 1.00 | 0.91 | 0.96 | 35 |
Neutral | 0.97 | 0.94 | 0.95 | 31 |
Sad | 0.96 | 0.98 | 0.97 | 50 |
