Quantitative Analysis of Intelligent Speech System Applied to English Speech Assessment
- DOI
- 10.2991/978-94-6463-044-2_118How to use a DOI?
- Keywords
- intelligent speech system; English pronunciation; assessment; TIMSS and LPS
- Abstract
The intelligent speech system has been widely used in English classrooms due to its advantages of pronunciation standard, abundant resources and convenient operation. This paper uses the video analysis method to deeply analyze the English classroom teaching based on intelligent speech technology. In order to fully understand the application of intelligent speech system to English classroom teaching, this study combines the existing classroom teaching coding system and the functional characteristics of intelligent speech system, draws on TIMSS and LPS analysis methods, and constructs a coding table of classroom teaching activities, and analyzes the selected video recordings. Make observations and records, objectively analyze the teaching effectiveness of the intelligent voice system, and summarize and summarize the characteristics and laws of the application of the intelligent voice system in the classroom teaching process, so as to better improve the application effect and role of classroom teaching.
- Copyright
- © 2022 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 - Ye Wang PY - 2022 DA - 2022/12/27 TI - Quantitative Analysis of Intelligent Speech System Applied to English Speech Assessment BT - Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022) PB - Atlantis Press SP - 942 EP - 946 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-044-2_118 DO - 10.2991/978-94-6463-044-2_118 ID - Wang2022 ER -