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Development of effective strategy of pattern recognition

This paper presents the basic concepts of designing of optimal consecutive-parallel strategy of speech recognition, based on the general-system efficiency criterion, which realizes the recognition procedure with alternatives pruning. It allows to increase the recognition rate on average and also to use a modular principle of designing of the recognition program via connecting additional modules while the complexity of the recognition task is increased. The task of the development of optimal recognition strategy in untrivial statement should be connected with an overall performance of the system as a whole, but not just with the condition of achievement of the given recognition accuracy. The complete formalization of the decision of this task for a general case is unknown today and is hardly possible. The formalization of the procedure of the development of the effective recognition strategy is possible only when feature sets of patterns are chosen by informal methods, and the criteria for the efficiency estimation are also chosen. Then the formal statement of the task of the development of the effective recognition strategy can be formulated as the task of the optimal decision tree searching, which is based on the general-system efficiency criterion. On each step of this hierarchical decision tree such features subset is selected, which reduces the entropy about patterns in maximum degree and increases the classification rate.