Research Article
A Novel Method for Recognizing Vietnamese Voice Commands on Smartphones with Support Vector Machine and Convolutional Neural Networks
Table 2
Accuracy of recognition of voice commands using the CNN model.
| Training set | P1 (%) | P2 (%) | R1 | R2 | R3 |
| Train 5-best, TYPE-1 | 9.3 | 5.93 | 104 | 0 | 34 | Train 4-best, TYPE-1 | 9.66 | 7.60 | 93 | 0 | 45 | Train 3-best, TYPE-1 | 10.73 | 8.34 | 91 | 3 | 47 | Train 2-best, TYPE-1 | 9.66 | 7.05 | 96 | 3 | 42 | Train 1-best | 7.51 | 6.43 | 103 | 0 | 35 | Train 5-best, TYPE-2 | 5.15 | 3.93 | 115 | 3 | 23 | Train 4-best, TYPE-2 | 5.58 | 3.96 | 114 | 0 | 24 | Train 5-best, TYPE-2 | 6.22 | 4.61 | 112 | 3 | 26 | Train 2-best, TYPE-2 | 7.08 | 6.51 | 108 | 3 | 30 |
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