Research Article
Articulatory-to-Acoustic Conversion of Mandarin Emotional Speech Based on PSO-LSSVM
Table 4
Recognition results on bimodal emotional speech database based on different features (%).
| Feature type | Emotion type | Average rate of recognition | Anger | Happiness | Neutral | Sadness |
| Original articulatory features | 62.72 | 69.23 | 38.1 | 50 | 55.01 | Converted F2 | 48.67 | 40.51 | 49.87 | 35.1 | 43.54 | Converted MFCC (12-D) | 53.07 | 41.2 | 50.25 | 38.23 | 45.69 | Fused conversion features | 58.43 | 47.22 | 54.11 | 38.1 | 49.47 | True F2 | 54.21 | 53.91 | 56.54 | 52.11 | 54.19 | True MFCC (12-D) | 53.03 | 52.32 | 56.22 | 48.23 | 52.45 | Fused true feature | 55.46 | 52.98 | 59.54 | 56.11 | 56.02 |
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