AI TECHNOLOGIES FOR ASSESSING STUDENTS' PRONUNCIATION

Olimova Shakhlobonu Khurshedjonovna

AI TECHNOLOGIES FOR ASSESSING STUDENTS' PRONUNCIATION

Authors

Olimova Shakhlobonu Khurshedjonovna Assistant Teacher, Department of Languages, Zarmed University

Keywords:

Artificial intelligence, pronunciation assessment, speech recognition, machine learning, deep learning, language learning, phonetic analysis, neural networks.

Abstract

The advancement of artificial intelligence (AI) has significantly impacted language learning, particularly in the assessment of students' pronunciation. This paper explores various AI-driven technologies used for evaluating pronunciation accuracy, fluency, and intelligibility in second-language learners. It also discusses the advantages and limitations of AI-based pronunciation assessment compared to traditional methods

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Published

2025-02-12

How to Cite

Olimova Shakhlobonu Khurshedjonovna. (2025). AI TECHNOLOGIES FOR ASSESSING STUDENTS’ PRONUNCIATION. Web of Humanities: Journal of Social Science and Humanitarian Research, 3(2), 163–167. Retrieved from https://webofjournals.com/index.php/9/article/view/3275