Maqola

OʻZBEK TILI NUTQINI TANIB OLISHDA CHUQUR OʻRGANISH MODELLARINING QIYOSIY TAHLILI VA SAMARADORLIGI

O.R. YusupovSamarkand State University named after Sharof Rashidov

Zenodo (CERN European Organization for Nuclear Research)repository2026uz

ABI

Annotatsiya

This paper presents a comparative analysis and evaluation of the effectiveness of deep learning-based speech recognition (ASR) models for the Uzbek language. It highlights the growing importance of natural language interaction between humans and computers, and the necessity of integrating the Uzbek language into modern digital systems to strengthen its international status.

Mavzular

Advanced Computational Techniques in Science and Engineering Engineering and Agricultural Innovations Economic and Industrial Development

Identifikatorlar

DOI: 10.5281/zenodo.20558513

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