The distribution formation method of reference patterns of vocal speech sounds

The development of intelligent computer components is widespread problem. The method of distributed transformation training patterns vocal sounds to a unified amplitude-time window and method a distributed clustering training patterns vocal sounds have been proposed for distributed forming reference patterns of speech vocal sounds in the paper. These methods allow fast convert quasiperiodic sections of different lengths to a single amplitudetime window for subsequent comparison and accurately and quickly determine the optimal number of clusters, which increases the probability clusterization. The proposed methods can be used in speech recognition and synthesis systems.