Abstract

The majority of Chinese people are still bound up in "dumb" English today. The English learning software is ubiquitous in our lives, but most of them merely fo-cus on English literacy without pronunciation evaluation and corrective feedback enabled. How to improve the oral English learning efficiency and quality has more and more become a hotspot of people’s common concern. The maturity of Speech Recognition Technology (SRT) has kicked off a new mode of oral Eng-lish learning, which allows the learning software enable pronunciation evaluation and feedback function. This paper probes into the speech signal extraction and pattern matching in SRT. For the sake of ease learning, the Android mobile phone platform is introduced for learner whereby to propose a rating method based on Adaptive Parameters (AP), create a mouth shape correction, and design intelligent English oral phonics training and evaluation system. This paper de-scribes the system implementation process in detail and gives a test demonstration for the system's availability.

Highlights

  • In the context of globalization, English, as one of the internationalized communicative languages, has appealed to more and more Chinese learners

  • With the rapid development and the popularization of computer technology, many English learning software relying on computer platforms emerges greatly. most of them focus on the improvement of English literacy

  • Individual software has simple repeat after functions, but lack good design and application in the terms of oral pronunciation evaluation and corrective feedback [1], which has become a bottleneck in spoken English learning intelligence

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Summary

Introduction

In the context of globalization, English, as one of the internationalized communicative languages, has appealed to more and more Chinese learners. Individual software has simple repeat after functions, but lack good design and application in the terms of oral pronunciation evaluation and corrective feedback [1], which has become a bottleneck in spoken English learning intelligence. The rapid development of Internet technology and the massive popularization of smartphones have made it possible for SRT's application in the mobile and intelligent spoken English training systems [2]. This paper, based on the analysis of SRT elementary theory and key algorithm, and relying on the Android mobile phone as a platform, designs a training and evaluation system for intelligent spoken English pronunciation, to realize the intelligence of spoken English articulation, which facilitates more English learners and plays an important role in improving the oral English learning efficiency

Designing System Speech Recognition Algorithm
Extraction of speech signal feature
Speech signal pattern matching
System analysis and design
Pronunciation rating method and process design
Speech feedback and lip reclamation
System Implementation
Conclusion
Author

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