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