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dc.contributor.authorN. Tolibova
dc.contributor.authorU. Khasanov
dc.contributor.authorM. Abdullayeva
dc.contributor.authorA. Kakhkharov
dc.contributor.authorNigora Elbobo qizi
dc.date.accessioned2025-10-27T06:14:46Z
dc.date.available2025-10-27T06:14:46Z
dc.date.issued2025-02-02
dc.identifier.issn2181-3337 | SCIENTISTS.UZ
dc.identifier.urihttps://dspace.kstu.uz/xmlui/handle/123456789/936
dc.description.abstractThis work presents the stages and results of implementing a system for assessing the correct pronunciation of words in Uzbek language. Filtering, segmentation, spectral representation, feature extraction, and evaluation based on the DTW algorithm were performed on the recorded speech signal. During the testing of the results, the pronunciation of the same word was 77.50%, and word recognition was 100%. Based on the results, users had the opportunity to work on themselves and improve their pronunciation accuracyen_US
dc.language.isoenen_US
dc.publisherSCIENCE AND INNOVATION INTERNATIONAL SCIENTIFIC JOURNALen_US
dc.subjectspeech signal, filtering, framing, segmentation, pronunciation, spectral, algorithm, feature extraction, DTW, analysis, histogram, recognitionen_US
dc.titleDEVELOPING A SYSTEM FOR ASSESSING THE CORRECT PRONUNCIATION OF WORDS IN UZBEK LANGUAGEen_US
dc.typeArticleen_US


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