Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)

Development of Automatic Evaluation System for Preschool Children's Speech Level Based on Speech Technology

Authors
Fei He1, *, Qingling Meng2
1Inner Mongolia University for Nationalities, Tongliao, Inner Mongolia, China
2Faculty of Education, Hulunbuir College, Hailar, 021008, Inner Mongolia, China
*Corresponding author. Email: mengql059@nenu.edu.com
Corresponding Author
Fei He
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-040-4_208How to use a DOI?
Keywords
speech technology; FFmpeg; JavaWeb; automatic evaluation; children's speech
Abstract

Based on speech technology, combined with FFmpeg application, the development and construction of automatic evaluation system for preschool children's speech level is completed in Java Web application development system. In view of the shortcomings of the current standardized tools for evaluating preschool children's speech level, such as poor systematicness and large errors, the system will complete the real-time transcription of preschool children's speech and audio content by the speech transcription engine under the framework of deep full sequence convolutional neural network, and then complete the evaluation of children's language ability through quantitative indicators or manual analysis. This helps doctors or children's speech therapists to improve their mastery of preschool children's speech level by analyzing real and natural children's language samples, and combines the evaluation results of this language sample with the evaluation results of standardized tools to form a brand-new and multi-angle comprehensive evaluation system. It is not only helpful to have a more comprehensive understanding of children's language development, but also to find an appropriate treatment plan for preschool children with language disorders and promote their healthy growth.

Copyright
© 2023 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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Volume Title
Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-040-4_208
ISSN
2589-4900
DOI
10.2991/978-94-6463-040-4_208How to use a DOI?
Copyright
© 2023 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.

Cite this article

TY  - CONF
AU  - Fei He
AU  - Qingling Meng
PY  - 2022
DA  - 2022/12/27
TI  - Development of Automatic Evaluation System for Preschool Children's Speech Level Based on Speech Technology
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 1396
EP  - 1403
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_208
DO  - 10.2991/978-94-6463-040-4_208
ID  - He2022
ER  -