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Filtering algorithms for speech signals in MAxk TLAB

Fakhriddin AbdirazakovTashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, UzbekistanSukhrob AtoevTashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, UzbekistanBaydullaev RuslanTashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan

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Typically, speech signals interfere with other types of signals. In cases where noise performance is enhanced, its continuation can be modified, analyzed, or the results of speech evaluation changed. In other cases, such as the analysis of noisy recordings for forensic purposes or the restoration of audio recordings in archives, the task of filtering the signal from noise are the main purpose of the research work. Therefore, the development of methods to filter the signal from noise is a very topical area of research.

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