FIELD: information technology.
SUBSTANCE: method can be used to reduce consumption of computational resources and the required size of storage devices when creating codebooks and executing reference vector search algorithms therein, including when performing low-speed speech signal coding. The technical result of the disclosed method is reducing the required size of storage devices and reducing consumption of computing computational resources when performing search in a codebook during vector quantisation. The set task is achieved by constructing a special codebook structure based on neural networks using training algorithms with adjustment. Search is performed in form of step-by-step hierarchical vector quantisation. The resultant vector is a sum of code vectors found at each step. The disclosed method can be used to reduce consumption of computational resources and the required size of storage devices when executing reference vector search algorithms in a codebook.
EFFECT: reducing consumption of computational resources and the required size of storage devices.
7 dwg
