Research Article
A Novel Method for Recognizing Vietnamese Voice Commands on Smartphones with Support Vector Machine and Convolutional Neural Networks
Table 1
Accuracy of recognition of voice commands using the SVM model.
| | Training set | P1 (%) | P2 (%) | R1 | R2 | R3 |
| | Train 5-best, TYPE-1 | 9.01 | 7.70 | 96 | 0 | 42 | | Train 4-best, TYPE-1 | 9.03 | 8.19 | 95 | 0 | 43 | | Train 3-best, TYPE-1 | 9.87 | 8.34 | 92 | 0 | 46 | | Train 2-best, TYPE-1 | 8.58 | 6.83 | 98 | 0 | 40 | | Train 1-best | 7.08 | 6.46 | 105 | 0 | 33 |
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