Application of Deep Learning Algorithms in Junior High School English Listening Training

DOI

10.2991/978-2-38476-309-2_41How to use a DOI?

Keywords

Deep learning algorithms; Junior high school English; Listening training

Abstract

To enhance the effectiveness of English listening training for junior high school students, this article explores the application of deep learning algorithms in listening training. Centered on deep learning models, the study analyzes their advantages in processing speech data, generating personalized training programs, and optimizing training outcomes. The results demonstrate that deep learning algorithms significantly improve listening comprehension, personalized teaching, and large-scale data processing, providing critical support for the intelligent development of English education.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Huimin Duan
PY  - 2024
DA  - 2024/12/09
TI  - Application of Deep Learning Algorithms in Junior High School English Listening Training
BT  - Proceedings of the 2024 9th International Conference on Modern Management, Education and Social Sciences (MMET 2024)
PB  - Atlantis Press
SP  - 333
EP  - 342
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-309-2_41
DO  - 10.2991/978-2-38476-309-2_41
ID  - Duan2024
ER  -