Work

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

Year: 2025

Type: article

Abstract: 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.

Source: The University of Danang - Journal of Science and Technology

DOI: 10.31130/ud-jst.2025.013e

Authors: Huy-Hung Huynh, Tuan-Kiet Nguyen Nhat, Huy-Hoang Huynh

Institution: Université de Technologie de Troyes

Language: English

Topic: Stuttering Research and Treatment

Subfield: Clinical Psychology

Field: Psychology

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W4411217332

FWCI:

Cites:

Cited by:

Related to: 10