Creation of An Intelligent System for Uzbek Language Teaching Using Phoneme-Based Speech Recognition

Abstract

The recent surge in interest to learn the Uzbek language among foreigners has underscored the need for innovative teaching tools. Despite the limited studies on intelligent systems for phonemic speech recognition in the Uzbek context, this research aimed to address this gap. The purpose of this study was to create an intelligent system for teaching the Uzbek language as a foreign language based on the technology of phonemic recognition of speech signals. It was developed an intelligent system for Uzbek language instruction using phonemic speech recognition technology. The approach utilized various methods, including pinpointing challenging phonemes, comparative data analyses, and analytical-synthetic breakdowns of linguistic components, all enhanced by the wavelet transform's signal refinement. The system's precision in recognizing speech signals phoneme-by-phoneme, emphasizing difficult sounds for learners, promises broader AI-driven language study applications. Specifically designed for the Uzbek language, the system achieves an accuracy range of 67% to 95%. This breakthrough not only propels AI-driven language processing but offers a robust tool for improving Uzbek language instruction, especially beneficial for the Turkic language group. Future avenues include its use in computer modeling and automatic speech processing for Turkic languages, solidifying its innovative contribution to AI-driven language teaching.