Neural Models for Recognition of Basic Units of Semiographic Chants.

The paper presents research on the problem of pattern recognition applied to the analysis of basic units of ancient Russian chants. We take for testing two types of neural networks: Multilayer Perceptron (MLP) and Probabilistic Neural Network (PNN). 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.