Integrating international Chinese visualization teaching and vocational skills training: leveraging attention-connectionist temporal classification models.

ABSTRACT: The teaching of Chinese as a second language has become increasingly crucial for promoting cross-cultural exchange and mutual learning worldwide. However, traditional approaches to international Chinese language teaching have limitations that hinder their effectiveness, such as outdated teaching materials, lack of qualified instructors, and limited access to learning facilities. To overcome these challenges, it is imperative to develop intelligent and visually engaging methods for teaching international Chinese language learners. In this article, we propose leveraging speech recognition technology within artificial intelligence to create an oral assistance platform that provides visualized pinyin-formatted feedback to learners. Additionally, this system can identify accent errors and provi

SUBMITTER: Yao Y 

PROVIDER: S-EPMC11323064 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature