USING ARTIFICIAL INTELLIGENCE TO IDENTIFY SPEAKING ERRORS IN REAL-TIME
Keywords:
AI speech recognition, real-time error detection, pronunciation analysis, automatic feedback, natural language processing, machine learning, speaking proficiency, language learning technology.Abstract
This article explores how artificial intelligence (AI) enables real-time detection and correction of speaking errors by using advanced speech recognition, machine learning, and natural language processing technologies. It examines the principles behind automatic speech recognition (ASR), pronunciation error identification, real-time feedback mechanisms, and educational applications. By analyzing current research and practical systems, the article highlights both the opportunities and challenges of AI-driven speaking error identification, especially in language learning and communication accuracy enhancement.
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