An Oral English Training Method Based on Big Data Analysis

Oral English training is a crucial part in English teaching. How to fully exploit information technology and big data technology to promote the quality of oral English training has attracted more and more attention. In this paper, we aim to propose a novel oral English training method based on big data analysis. In particular, there are two main considerations in this paper, that is, 1) what information services and support for a specific user and which page content is arranged, and 2) the identity worker with the unique identity of different ID. Afterwards, we discuss how to utilize the hidden Markov model to achieve speech recognition, which is a key module in this proposed system. Finally, experimental results prove that the proposed solution can obtain high accuracy of speech recognition, and then enhance users' scores on English course.