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

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.

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