Research Article
Design and Implementation of Oral Training System Based on Automatic Speech Evaluation
@INPROCEEDINGS{10.1007/978-3-031-23950-2_9, author={Zhengzhong Pan}, title={Design and Implementation of Oral Training System Based on Automatic Speech Evaluation}, proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. Second EAI International Conference, BigIoT-EDU 2022, Virtual Event, July 29--31, 2022, Proceedings, Part I}, proceedings_a={BIGIOT-EDU}, year={2023}, month={1}, keywords={Automatic language Speech recognition Oral training System design}, doi={10.1007/978-3-031-23950-2_9} }- Zhengzhong Pan
Year: 2023
Design and Implementation of Oral Training System Based on Automatic Speech Evaluation
BIGIOT-EDU
Springer
DOI: 10.1007/978-3-031-23950-2_9
Abstract
With the development of human-computer interaction technology, autonomous learning using computer-aided language learning system (call) has become an important learning method for students’ English learning. Oral learning only helps you on the road. As for the latter, it depends on yourself, And to this extent, adults are fully capable of summing up their own learning experience and methods, and counseling appears in the form of mutual communication. Aiming at the application of speech recognition technology in oral English training system, according to the characteristics of voiced pronunciation, each syllable must have voiced part and voiced pronunciation energy is large, an improvement of HMM Speech automatic segmentation algorithm is proposed; It is proposed to evaluate the quality of oral pronunciation from the three dimensions of correctness, rhythm and fluency, which better ensures the authority of the evaluation results, and makes the results of machine evaluation and expert evaluation have high likelihood. The research on speech signal and speech recognition is not only an important research content.
