NUTQNI AVTOMATIK TANIB OLISHDA QUARTZNET MODELI

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Authors

Narzillo Solidjonovich Mamatov · National Nuclear Research Center

Shyerzod Shavkatjonovich Abdullayev · Ordu University

Yusuf Sheraliyevich Yuldoshev · Komatsu (Japan)

Adham Shavkatjonovich Homidov · Institute of Seismology

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.

Topics & Keywords

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

Publication Details

Published in: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.19228169

Field-Weighted Citation Impact: 0.00

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NUTQNI AVTOMATIK TANIB OLISHDA QUARTZNET MODELI

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Abstract

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Publication Details