Research Article
Improved Emotion Recognition Using Gaussian Mixture Model and Extreme Learning Machine in Speech and Glottal Signals
Table 4
Average emotion recognition rates for SAVEE database.
| Different order “db” wavelets | Speaker dependent | Raw features | Enhanced features | SET1 | SET2 | SET3 | SET4 |
| ELM kernel | db3 | 55.63 | 96.35 | 96.77 | 95.21 | 95.83 | 96.04 | db6 | 55.63 | 96.35 | 95.52 | 97.60 | 95.73 | 96.35 | db10 | 58.23 | 96.77 | 91.35 | 92.60 | 93.33 | 91.67 | db44 | 58.33 | 96.04 | 95.52 | 95.63 | 95.83 | 96.35 |
| NN | db3 | 47.08 | 90.63 | 89.90 | 90.52 | 91.56 | 91.77 | db6 | 47.81 | 93.54 | 92.81 | 94.27 | 92.29 | 93.75 | db10 | 46.56 | 93.23 | 93.96 | 93.33 | 92.60 | 94.17 | db44 | 50.31 | 90.21 | 91.04 | 91.77 | 90.10 | 91.35 |
| Speaker independent |
| ELM kernel | db3 | 27.92 | 70.00 | 69.17 | 68.54 | 70.21 | 70.00 | db6 | 31.04 | 67.92 | 72.71 | 73.75 | 76.25 | 76.25 | db10 | 31.04 | 77.92 | 76.88 | 76.88 | 76.88 | 76.67 | db44 | 31.46 | 70.83 | 76.46 | 76.04 | 76.25 | 76.67 |
| kNN | db3 | 28.75 | 63.96 | 62.50 | 62.50 | 63.13 | 64.38 | db6 | 27.92 | 63.75 | 66.04 | 65.42 | 66.25 | 66.25 | db10 | 27.92 | 69.17 | 67.50 | 67.50 | 67.50 | 67.71 | db44 | 27.50 | 64.17 | 62.50 | 62.71 | 61.67 | 62.50 |
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