Table 1.

The proposed CNN model.

Layer	Arguments	Number of Parameters
Convolution2D	Filters = 16, kernel size = (9, 3), input shape (128, 170, 1)	448
MaxPooling2D	Pool size = (2, 2)
Convolution2D	Filters = 32, kernel size = (3, 1)	1568
MaxPooling2D	Pool size = (2, 2)
Flatten
Dense_1	Nodes = 128	4,989,056
Dropout	Rate = 0.2
Dense_2	Nodes = 23	2967
Total number of parameters		4,994,039