Research Article
Nonlinear Dynamic Feature Extraction Based on Phase Space Reconstruction for the Classification of Speech and Emotion
Table 4
Recognition results of the two features for different SNR (dB).
| Word no. | Feature type | SNE (dB) | 15 | 20 | 25 | 30 | Clean | Average |
| 10 | MFCC | 91.90 | 91.90 | 91.90 | 93.81 | 94.76 | 92.85 | NLD-1 + MFCC | 93.33 | 94.29 | 93.33 | 94.29 | 95.71 | 94.19 | NLD-2 + MFCC | 93.33 | 94.29 | 93.33 | 94.29 | 95.71 | 94.19 | NLD + MFCC | 92.85 | 95.24 | 92.38 | 95.24 | 95.71 | 94.28 |
| 20 | MFCC | 91.19 | 93.38 | 91.67 | 92.86 | 92.14 | 92.25 | NLD-1 + MFCC | 92.38 | 92.81 | 93.57 | 93.10 | 92.86 | 92.94 | NLD-2 + MFCC | 91.19 | 93.81 | 93.57 | 92.86 | 92.61 | 93.04 | NLD + MFCC | 92.14 | 93.81 | 93.10 | 94.05 | 92.62 | 93.14 |
| 30 | MFCC | 87.62 | 89.68 | 91.27 | 92.22 | 89.05 | 90.32 | NLD-1 + MFCC | 90.79 | 90.79 | 91.27 | 92.63 | 89.79 | 91.54 | NLD-2 + MFCC | 87.62 | 91.11 | 92.06 | 92.22 | 90.79 | 90.76 | NLD + MFCC | 88.73 | 91.11 | 92.06 | 92.63 | 91.27 | 91.16 |
| 40 | MFCC | 86.90 | 88.69 | 90.31 | 90.00 | 88.33 | 88.85 | NLD-1 + MFCC | 87.14 | 90.35 | 91.31 | 90.36 | 88.69 | 89.57 | NLD-2 + MFCC | 87.14 | 90.35 | 91.79 | 90.36 | 88.69 | 89.67 | NLD + MFCC | 87.86 | 89.88 | 90.36 | 90.24 | 88.93 | 89.45 |
| 50 | MFCC | 84.29 | 87.71 | 88.95 | 78.76 | 85.82 | 85.11 | NLD-1 + MFCC | 85.81 | 87.90 | 88.48 | 78.81 | 85.05 | 85.21 | NLD-2 + MFCC | 85.52 | 87.52 | 89.05 | 78.76 | 85.52 | 85.27 | NLD + MFCC | 85.52 | 87.52 | 89.05 | 88.10 | 87.71 | 87.58 |
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