Overcoming the Difficulty of Teaching Chinese Pronunciation Based on Artificial Intelligence Models

Xinyu Lin

2024

Abstract

In recent years, the application of Artificial Intelligence (AI) in language teaching has attracted increasing attention, especially in pronunciation. This is because language plays a fundamental role in communication, and oral communication is particularly important in daily life. However, for students learning Chinese abroad, it is difficult to create a good learning environment due to the limited opportunities to contact Chinese people and they cannot learn in their mother tongue. Therefore, pronunciation is also one of the biggest problems. Artificial intelligence has brought new opportunities and educational methods to the educational community, and its application is increasingly widely used in the field of language teaching. This paper focuses on the development of AI in Chinese pronunciation teaching. This paper first discusses the principles of AI and its application in various fields including medical biology, sound and identification, and agricultural environmental protection. Then this paper focus on the application of artificial intelligence in Chinese pronunciation teaching, especially in the detection and correction of speech errors. The paper discusses the use of automatic speech recognition techniques to judge the correctness of pronunciation, and the ways to correct these errors. This paper also highlights the challenges that AI faces in detecting and correcting Chinese pronunciation errors, including the lack of emotional output in AI speech synthesis. Finally, this paper concludes that researchers should continue to optimize algorithms and models to improve accuracy and explore AI-assisted language teaching for different languages.

Paper Citation

in Harvard Style

Lin X. (2024). Overcoming the Difficulty of Teaching Chinese Pronunciation Based on Artificial Intelligence Models. In Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE; ISBN 978-989-758-690-3, SciTePress, pages 334-338. DOI: 10.5220/0012837600004547

in Bibtex Style

@conference{icdse24,
author={Xinyu Lin},
title={Overcoming the Difficulty of Teaching Chinese Pronunciation Based on Artificial Intelligence Models},
booktitle={Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2024},
pages={334-338},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012837600004547},
isbn={978-989-758-690-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE
TI - Overcoming the Difficulty of Teaching Chinese Pronunciation Based on Artificial Intelligence Models
SN - 978-989-758-690-3
AU - Lin X.
PY - 2024
SP - 334
EP - 338
DO - 10.5220/0012837600004547
PB - SciTePress