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