Application of artificial intelligence in recognizing and correcting stuttering errors in children: developing a system specifically for Vietnamese

The paper presents a study on the application of artificial intelligence (AI) and natural language processing (NLP) to detect and correct stuttering in Vietnamese children aged 7–12. The optimal speech recognition algorithm for Vietnamese identifies errors through a keyword database. The system provides feedback through audio and images of mouth movements. The interface supports learning by tracking progress and displaying original and corrected sentences, helping children detect and correct errors. This method improves the ability to correct speech errors, improve pronunciation and communication confidence. The results show the potential for AI applications in education, speech therapy and supporting children’s language development.