The Use Convolutional Neural Networks for Recognition of Semiographic Chants
نویسندگان
چکیده
The paper presents research on the problem of recognition of signs applied to the analysis of basic units of ancient Russian chants. For testing, we take two types of deep neural networks: Back Propagation Neural Network (BPNN) and Convolution Neural Network (CNN). We investigate main features of the chant units and the properties of the networks to choose the best structure and algorithm. The results provide an analysis of accuracy for both approaches used in solving this particular task.
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