В этой статье, разработаны общие модели обработки речевых сигналов узбекского языка. Приведена корреляционная модель и анализ записанных слов от нуля до десяти с помощью микрофона. Построена модель корреляционного анализа на основе акустических параметров и определен уровень распознавания речевых сигналов.

Ушбу мақолада ўзбек тили нутқий сигналларини қайта ишлашнинг умумий моделлари ишлаб чиқилган. Нутқий сигналларнинг микрофон асосида ёзилган нолдан ўнгача бўлган сўзларнинг корреляцион моделлари келтирилган ва уларнинг таҳлили амалга оширилган. Акустик параметрлар асосида корреляцион таҳлил модели қурилган ва нутқий сигнални таниш даражаси аниқланган.

In this paper, the general model of speech processing of the Uzbek language are developed. The correlation model and analysis of the recorded by a microphone words from zero to ten is given. In this paper the correlation model has been developed using the acoustic level algorithm parameters in the creation of familiar speech systems in Uzbek language, the model assumes a number of informative data. Correlation analysis algorithms have been used to distinguish words from acoustic algorithms based on the processing of speech signals. On the basis of correlation analysis have been determined for each frame the mean arithmetic value of the speech signal energy, entropy, maximum number of points and passing through the center. In addition,were identified the main tones and shapes of speech signals. All determined values were compared with correlation analysis and comparative coefficients were determined.