@inproceedings{3137605727da4d7d800d2dd27fed238f,
title = "AI technology using as a tool for enhancing university students English speaking skills: Perceptions and practices",
abstract = "In the Internet era, Internet technology is widely involved in teaching life, and the use of mobile phone software to learn English has become an important way for many non-native learners to learn English. There is still a great demand for scholars at different stages to learn spoken English. There is a lack of methods and ways to practice oral English for university students, while offline oral English teaching tests still have many limitations. Using AI (artificial intelligence) to assist oral English testing, especially speech recognition technology is a new direction of oral English learning. EAP TALK is an AI oral English evaluation system based on statistical calculation, big data, language cognition and deep learning, and automatic real-Time scoring. This paper takes {"}questionnaire Star{"} as the platform to design an electronic questionnaire, uses SPSS (V26.0) for statistical analysis, and conducts semi-structured interviews with students. The results show that participants have confidence in using EAP TALK for oral practice, and EAP TALK has some advantages over classroom teaching.",
keywords = "deep learning, Oral English, speech recognition",
author = "Wei Wang and Bin Zou and Shuangshuang Xue",
note = "Publisher Copyright: {\textcopyright} 2023 SPIE. All rights reserved.; 7th International Conference on Mechatronics and Intelligent Robotics, ICMIR 2023 ; Conference date: 19-05-2023 Through 21-05-2023",
year = "2023",
doi = "10.1117/12.2689728",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Srikanta Patnaik and Tao Shen",
booktitle = "Seventh International Conference on Mechatronics and Intelligent Robotics, ICMIR 2023",
}