Article

NUTQNI AVTOMATIK TANIB OLISHDA QUARTZNET MODELI

Narzillo Solidjonovich Mamatov"TIQXMMI" Milliy tadqiqot universiteti, kafedra mudiriShyerzod Shavkatjonovich AbdullayevOriyental universiteti, dotsentYusuf Sheraliyevich YuldoshevOliy attestatsiya komissiyasi, inspektorAdham Shavkatjonovich Homidov10002 harbiy qism,xizmatchi

Zenodo (CERN European Organization for Nuclear Research)repository2026uz

ABI

Abstract

Ushbu maqolada nutqni tanib olishda NVIDIA kompaniyasi tomonidan taklif etilgan neyron tarmog'i modelini o'zbek tilidani nutq ma'lumotlar to'plami bilan o'qitish orqali o'tkazilgan tadqiqotlar bayon etilgan. Hozirgi kunda neyron tarmoqlarning turli modellaridan nutqni avtomatik tanib olish tizimlarini yaratishda keng foydalanilmoqda. Bu esa nutqni tanib olish sifatini keskin oshishiga sabab bo'lmoqda. Nutqni tanib olishning mavjud tizimlari turli neyron tarmoq modellari asosida ishlashga mo'ljallangan. Mazkur maqola ana shunday modellardan birini nutqni avtomatik tanib olishda qo'llanilishiga bag'ishlangan bo'lib, unda quartznet modeli va undan foydalanish bo'yicha ma'lumotlar keltirilgan.

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Topics

Engineering and Agricultural Innovations Advanced Computational Techniques in Science and Engineering Education, Innovation and Language Studies

Identifiers

DOI: 10.5281/zenodo.19228169

Citations and references

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