Innovation Series: Advanced Science (ISSN 2938-9933, CNKI Indexed)

A Study on Chinese Pinyin Learning Models for Overseas Chinese Children Based on AI Speech Recognition

Chenqi Hu^*, Xiaoxuan Zheng, Yuan Yuan, Wenting Yu, Yu Dai, Xinyu Wu

College of Teacher Education, Quzhou University, Quzhou, Zhejiang, China

Corresponding Author: Chenqi Hu (19858566432@163.com)

Abstract: In the context of globalization, Chinese children living abroad face significant challenges in acquiring Mandarin due to the influence of English-speaking environments and dialects. Specifically, these difficulties include confusion between alveolar and retroflex sounds, misuse of tones, and mixing of Chinese and English sounds. At the same time, traditional teaching models suffer from problems such as a shortage of teachers, delayed feedback, and insufficient individual support. This research focuses on AI-based speech recognition technology and is based on theories of second language acquisition, children's cognitive development, and individualized education. It develops a model for bilingual learning for Chinese immigrant children, adhering to the principles of local adaptation, play-based interaction, language-culture integration, and home-school collaboration. The model includes three core functional modules: real-time pronunciation correction, interactive learning through play, and cultural scenario integration. It adapts to fragmented learning within families, education in overseas Chinese schools, and online self-study. The practical application of the Huayu Kids app shows that this model effectively addresses the main challenges in teaching Pinyin to Chinese children abroad, stimulates interest in learning, and strengthens Chinese cultural identity. The study also analyzes problems that arise during the implementation of the model, such as low accuracy in recognizing children's pronunciation and issues with adapting cultural content, and proposes specific improvement measures. In short, this model shows a possible path toward the digitization and modification of overseas Chinese language education. In the future, by further improving the model's technology and content based on user data and expanding its application, the model will promote the high-quality development of overseas Chinese language education around the world.

Keywords: AI speech recognition; Children of Chinese immigrants; Pinyin learning; Learning model; Chinese cultural heritage

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