Research Article
[Retracted] Modeling and Simulation of English Speech Optimization Teaching Recognition Based on Intelligent Edge Detection Algorithm
Table 1
COSR results before and after FFSS feature set optimization.
| Vocabulary | Characteristic parameters | 0 dB | 5 dB | 10 dB | 15 dB | 20 dB | Average recognition rate |
| 10 words | FFPSS_D | 80.95 | 86.19 | 90.48 | 90.95 | 90.00 | 87.71 | PCA-features1 | 88.10 | 89.52 | 90.48 | 92.38 | 92.38 | 90.57 | FFPSS_D + TEOCC | 82.38 | 90.48 | 93.81 | 93.81 | 94.29 | 90.95 | PCA-features2 | 90.00 | 90.95 | 94.29 | 94.29 | 94.29 | 92.76 |
| 20 words | FFPSS_D | 74.86 | 80.30 | 82.71 | 86.03 | 87.34 | 82.25 | PCA-features1 | 78.81 | 81.67 | 87.38 | 88.81 | 91.67 | 85.67 | FFPSS_D + TEOCC | 79.52 | 83.83 | 86.80 | 89.01. | 90.50 | 85.93 | PCA-features2 | 81.43 | 85.24 | 88.57 | 90.48 | 92.38 | 87.62 |
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