KJCKorea
Journal Central

@article{ART003198813},
author={Hyojung Jung and HeeJeung, Jee and Hyunmi Do and Hyeji Kim and Sangmin Woo},
title={Design and Implementation of an AI-Based Korean Pronunciation Learning System with Personalized Feedback},
journal={The Journal of Transdisciplinary Studies},
issn={2586-5439},
year={2025},
volume={9},
number={1},
pages={1-10},
doi={10.22685/jts.2025.9.1.1}

TY - JOUR
AU - Hyojung Jung
AU - HeeJeung, Jee
AU - Hyunmi Do
AU - Hyeji Kim
AU - Sangmin Woo
TI - Design and Implementation of an AI-Based Korean Pronunciation Learning System with Personalized Feedback
JO - The Journal of Transdisciplinary Studies
PY - 2025
VL - 9
IS - 1
PB - The Society for Transdisciplinary Studies
SP - 1
EP - 10
SN - 2586-5439
AB - Objectives: The demand for Korean language learning has increased with global interest in Korean culture. However, non-native speakers struggle with pronunciation due to Korean's unique phonological features. This study aims to develop an AI-based pronunciation evaluation application to provide structured and personalized feedback. Methods: The system uses a client–server architecture, integrating an Android app, a FastAPI server, and an SQLite database. The AI model evaluates pronunciation based on accuracy, fluency, and completeness, and checks keyword usage in learners' spoken responses. Results: A pilot study with non-native Korean learners showed high user satisfaction with the system’s learning content and feedback quality. Conclusions: The AI-based application effectively supports Korean pronunciation learning by offering real-time, structured feedback. Pilot results suggest strong potential for broader application in Korean language education.
KW - AI-based learning;FastAPI;non-native learners;Korean pronunciation evaluation;Pronunciation error analysis
DO - 10.22685/jts.2025.9.1.1
ER -

Hyojung Jung, HeeJeung, Jee, Hyunmi Do, Hyeji Kim and Sangmin Woo. (2025). Design and Implementation of an AI-Based Korean Pronunciation Learning System with Personalized Feedback. The Journal of Transdisciplinary Studies, 9(1), 1-10.

Hyojung Jung, HeeJeung, Jee, Hyunmi Do, Hyeji Kim and Sangmin Woo. 2025, "Design and Implementation of an AI-Based Korean Pronunciation Learning System with Personalized Feedback", The Journal of Transdisciplinary Studies, vol.9, no.1 pp.1-10. Available from: doi:10.22685/jts.2025.9.1.1

Hyojung Jung, HeeJeung, Jee, Hyunmi Do, Hyeji Kim, Sangmin Woo "Design and Implementation of an AI-Based Korean Pronunciation Learning System with Personalized Feedback" The Journal of Transdisciplinary Studies 9.1 pp.1-10 (2025) : 1.

Hyojung Jung, HeeJeung, Jee, Hyunmi Do, Hyeji Kim, Sangmin Woo. Design and Implementation of an AI-Based Korean Pronunciation Learning System with Personalized Feedback. 2025; 9(1), 1-10. Available from: doi:10.22685/jts.2025.9.1.1

Hyojung Jung, HeeJeung, Jee, Hyunmi Do, Hyeji Kim and Sangmin Woo. "Design and Implementation of an AI-Based Korean Pronunciation Learning System with Personalized Feedback" The Journal of Transdisciplinary Studies 9, no.1 (2025) : 1-10.doi: 10.22685/jts.2025.9.1.1

Hyojung Jung; HeeJeung, Jee; Hyunmi Do; Hyeji Kim; Sangmin Woo. Design and Implementation of an AI-Based Korean Pronunciation Learning System with Personalized Feedback. The Journal of Transdisciplinary Studies, 9(1), 1-10. doi: 10.22685/jts.2025.9.1.1

Hyojung Jung; HeeJeung, Jee; Hyunmi Do; Hyeji Kim; Sangmin Woo. Design and Implementation of an AI-Based Korean Pronunciation Learning System with Personalized Feedback. The Journal of Transdisciplinary Studies. 2025; 9(1) 1-10. doi: 10.22685/jts.2025.9.1.1

Hyojung Jung, HeeJeung, Jee, Hyunmi Do, Hyeji Kim, Sangmin Woo. Design and Implementation of an AI-Based Korean Pronunciation Learning System with Personalized Feedback. 2025; 9(1), 1-10. Available from: doi:10.22685/jts.2025.9.1.1

Hyojung Jung, HeeJeung, Jee, Hyunmi Do, Hyeji Kim and Sangmin Woo. "Design and Implementation of an AI-Based Korean Pronunciation Learning System with Personalized Feedback" The Journal of Transdisciplinary Studies 9, no.1 (2025) : 1-10.doi: 10.22685/jts.2025.9.1.1