Development of algorithms and software products for personality recognition based on speech signal processing
Sh. Kh. IsmoilovUrgench branch of Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, al- Kharezmi, 110, Urgench, 220100, UzbekistanOtaboy MasharipovUrgench branch of Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, al- Kharezmi, 110, Urgench, 220100, UzbekistanMukhiddin IbragimovUrgench branch of Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, al- Kharezmi, 110, Urgench, 220100, UzbekistanIsmailjon KhabibullaevTashkent University of Information Technologies named after Muhammad al-Khwarizmi, 108, Amir Timur, Tashkent, 100084, UzbekistanAnaxon IsmoilovaUrgench branch of Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, al- Kharezmi, 110, Urgench, 220100, Uzbekistan
ABI
Annotatsiya
This article describes the methods of speech recognition using digital filters. For speech recognition, adaptive filters will give excellent results. In the course of the automatic speech recognition system, the recognition task is reduced to determining the most likely sequence of words corresponding to the content of the speech signal. The most likely candidate should be determined based on frequently repeated information. This means that it is necessary to perform an effective search, among the most frequently repeated information, taking into account different probabilistic information.
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