TABIIY TILLARNI QAYTA ISHLASHDA NUTQDAN MATNGA AYLANTIRISH TIZIMINING ROLI VA AHAMIYATI

Abstract

This article is dedicated to studying the role and importance of speech-to-text systems in natural language processing. Speech-to-text (ASR - Automatic Speech Recognition) technologies play a significant role in modern communication tools, facilitating voice command recognition, efficient data processing, and improving human-computer interaction. The article examines the basic principles and operation of this technology, the role of machine learning algorithms, and its application in natural language text processing systems. Additionally, it highlights the challenges of speech-to-text conversion, such as accents, ambiguous words, and noise-related issues, and explores innovative solutions to overcome these challenges. This work serves as a valuable resource for researchers and developers engaged in natural language processing studies.