NUTQ SIGNALLARIDAN BELGILARNI AJRATIB OLISHDA MFCC ALGORITMINING SAMARADORLIGINI TAHLIL QILISH

Jamalatdin Kayratdin ulı Muxiyatdinov

doi:10.5281/zenodo.23323832

Pdf Zenodo

Published: 2026-09-25

DOI: https://doi.org/10.5281/zenodo.23323832

Keywords:

nutq signali, MFCC, belgilarni ajratib olish, spektral tahlil, nutqni avtomatik tanish, chuqur neyron tarmoqlar, akustik model

Muxiyatdinov Jamalatdin Kayratdin ulı

Mirzo Ulugʻbek nomidagi Oʻzbekiston Milliy Universiteti, tayanch doktorant

Abstract

Ushbu tezisda nutq signallaridan akustik belgilarni ajratib olishning eng keng tarqalgan usuli — Mel-chastotali kepstral koeffitsientlar (MFCC) algoritmi va uning nutqni avtomatik tanish tizimlaridagi samaradorligi tahlil qilinadi. MFCC usuli LPC va PLP kabi boshqa an’anaviy usullar bilan qiyoslanadi, so‘nggi yillardagi ilmiy tadqiqotlar asosida uning aniqlik ko‘rsatkichlari, hisoblash murakkabligi va shovqinga chidamliligi bo‘yicha afzallik va kamchiliklari ko‘rib chiqiladi. Tadqiqot natijalari MFCC algoritmi hozircha nutqni tanish tizimlarida eng samarali va barqaror yechimlardan biri bo‘lib qolayotganini ko‘rsatadi.

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Issue

Vol. 1 No. 1 (2026): Kompyuter ilmlari va muhandislik texnologiyalari. Xalqaro ilmiy-texnik anjuman 2-qism

Section

Articles

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

Muxiyatdinov, J. K. ulı. (2026). NUTQ SIGNALLARIDAN BELGILARNI AJRATIB OLISHDA MFCC ALGORITMINING SAMARADORLIGINI TAHLIL QILISH. Konferensiyalar, 1(1), 9-12. https://doi.org/10.5281/zenodo.23323832

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