SYSTEMATIC APPROACH TO DECISION-MAKING AND SPEECH PROCESSING USING "OBSCURE PHONETIC CODING METHOD"
The article reviews methodology of system analysis in speech recognition for autonomous information systems with a voice interface. Based on the information-theoretic approach, a new computationally effective algorithm for decision-making and processing of speech information with obscure phonetic coding was developed. Unlike traditional approaches, which involve the construction of separate acoustic models for each type of minimal speech units such as individual phonemes, it is suggested to consider the interrelations between different phonemes. The presented algorithm is applied to the information system of intellectual support of speech information processing. Its functional scheme is also provided in the article. To increase the efficiency and reliability of the voice interface in the preliminary stage, it is suggested to conduct special trainings for system operators in order to enable them to pronounce each of the phonemes adequately. The results of experimental study of the accuracy and speed of the developed algorithm used for recognizing isolated words of the Russian language as compared to the methods based on hidden Markov models and deep neural networks are also presented. The proposed approach significantly exceeds the traditional methods of speech recognition not only in accuracy, but also in terms of recognition time and memory costs for storing the acoustic model