Study on an English Speaking Practice System based on Automatic Speech Recognition Technology
Xianxian Wu, Yan Zhang, Wenyan Zhu · Journal of Education and Educational Research · 2023
This research paper presents a study on an English speaking practice system that utilizes automatic speech recognition (ASR) technology. The system aims to assess pronunciation accuracy and provide real-time feedback to learners, ultimately enhancing their spoken English skills. The system employs a web-based platform where users can record their speech, which is then uploaded to the server for recognition using a pre-trained ASR model. The recognized speech is compared with a reference text, allowing for the calculation of pronunciation accuracy and the generation of feedback highlighting correctly and incorrectly pronounced words. The system's effectiveness is validated through experimentation. The results demonstrate the system's high accuracy in speech recognition and the effectiveness of the feedback provided to learners. This study improves the effectiveness of language learning and can be extended to various educational environments and online language learning platforms.