Optimization of Intelligent English Pronunciation Training System Based on Android Platform

Qianyu Cao,Hanmei Hao,Wei Wang

doi:10.1155/2021/5537101

Abstract

Oral English, as a language tool, is not only an important part of English learning but also an essential part. For nonnative English learners, effective and meaningful voice feedback is very important. At present, most of the traditional recognition and error correction systems for oral English training are still in the theoretical stage. At the same time, the corresponding high-end experimental prototype also has the disadvantages of large and complex system. In the speech recognition technology, the traditional speech recognition technology is not perfect in recognition ability and recognition accuracy, and it relies too much on the recognition of speech content, which is easily affected by the noise environment. Based on this, this paper will develop and design a spoken English assistant pronunciation training system based on Android smartphone platform. Based on the in-depth study and analysis of spoken English speech correction algorithm and speech feedback mechanism, this paper proposes a lip motion judgment algorithm based on ultrasonic detection, which is used to assist the traditional speech recognition algorithm in double feedback judgment. In the feedback mechanism of intelligent speech training, a double benchmark scoring mechanism is introduced to comprehensively evaluate the speech of the speech trainer and correct the speaker’s speech in time. The experimental results show that the speech accuracy of the system reaches 85%, which improves the level of oral English trainers to a certain extent.

Highlights

As the most mature language in globalization, English has become an indispensable communication tool in people’s daily life
On the basis of in-depth research and analysis of spoken English pronunciation correction algorithm and speech feedback mechanism, this paper proposes a lip movement judgment algorithm based on ultrasonic detection, which is used to assist the traditional speech recognition algorithm to make double feedback judgment
In the feedback mechanism of intelligent speech training, a double benchmark scoring mechanism is introduced to evaluate the pronunciation of speech trainers in an all-round way and correct the pronunciation of speakers in time. e experimental results show that the pronunciation correction rate of the proposed system reaches 85%, which improves the level of oral English trainers to a certain extent

Summary

Introduction

As the most mature language in globalization, English has become an indispensable communication tool in people’s daily life. With the rapid development of intelligent speech recognition technology, professional machines and corresponding learning software related to oral English training emerge in endlessly. Such software often has only some single functions, which can only assist oral English practitioners to carry out some simple oral pronunciation training, lacking effective feedback on some learners’ oral English pronunciation, so its corresponding functions are limited. On the basis of in-depth research and analysis of spoken English pronunciation correction algorithm and speech feedback mechanism, this paper proposes a lip movement judgment algorithm based on ultrasonic detection, which is used to assist the traditional speech recognition algorithm to make double feedback judgment.

Related Work Analysis

Evaluation score conversion mechanism

Experiment and Analysis