Research Article
Pattern Recognition Methods and Features Selection for Speech Emotion Recognition System
Table 5
Performance results of classifiers for MFCC (dynamic and acceleration coefficients too) features.
| | MFCC | ANN | k-NN | GMM |
| | Neutral state | 7445
22.1% | 1901
5.7% | 79.7% | 4919
14.6% | 2209
6.6% | 69.0% | 6305
18.8% | 3507
10.4% | 63.3% |
| | Stress | 1684
5.0% | 22587
67.2% | 93.1% | 4210
12.5% | 22279
66.3% | 84.1% | 2824
8.4% | 20981
62.4% | 88.1% |
| | | 81.6% | 92.2% | 89.3% | 53.9% | 91.0% | 80.9% | 69.1% | 85.7% | 81.2% | | | Neutral state | Stress | | Neutral state | Stress | | Neutral state | Stress | |
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