Abstract

For correction system of English pronunciation errors, the level of correction performance and the reliability, practicability, and adaptability of information feedback are the main basis for evaluating its excellent comprehensive performance. In view of the disadvantages of traditional English pronunciation correction systems, such as failure to timely feedback and correct learners’ pronunciation errors, slow improvement of learners’ English proficiency, and even misleading learners, it is imperative to design a scientific and efficient automatic correction system for English pronunciation errors. High‐sensitivity acoustic wave sensors can identify English pronunciation error signal and convert the dimension of collected pronunciation signal according to channel configuration information; acoustic wave sensors can then assist the automatic correction system of English pronunciation errors to filter out interference components in output signal, analyze real‐time spectrum, and evaluate the sensitivity of the acoustic wave sensor. Therefore, on the basis of summarizing and analyzing previous research works, this paper expounds the current research status and significance of the design of automatic correction system for English pronunciation errors, elaborates the development background, current status and future challenges of high‐sensitivity acoustic wave sensor technology, introduces the methods and principles of time‐domain signal amplitude measurement and pronunciation signal preprocessing, carries out the optimization design of pronunciation recognition sensors, performs the improvement design of pronunciation recognition processors, proposes the hardware design of automatic correction system for English pronunciation errors based on the assistance of high‐sensitivity acoustic wave sensors, analyzes the acquisition program design for English pronunciation errors, implements the parameter extraction of English pronunciation error signal, discusses the software design of automatic correction system for English pronunciation errors based on the assistance of high‐sensitivity sound wave sensor, and finally, conducts system test and its result analysis. The study results show that the automatic correction system of English pronunciation errors assisted by the high‐sensitivity acoustic wave sensors can realize the automatic correction of the amplitude linearity, sensitivity, repeatability error, and return error of English pronunciation errors, which has the robust functions of automatic real‐time data collection, processing, saving, query, and retesting. The system can also minimize external interference and improve the accuracy of acoustic wave sensors’ sensitivity calibration, and it provides functions such as reading and saving English pronunciation error signals and visual operation, which effectively improves the ease of use and completeness of the correction system. The study results in this paper provide a reference for the further researches on the automatic correction system design for English pronunciation errors assisted by high‐sensitivity acoustic wave sensors.

Highlights

  • In the process of learning English, there is a phenomenon that some learners’ spoken language is poor, and as a critical and difficult part of English learning, spoken language has received increasing attention

  • The detailed chapters are arranged as follows: Section 2 introduces the methods and principles of time-domain signal amplitude measurement and pronunciation signal preprocessing; Section 3 proposes the hardware design of automatic correction system for English pronunciation errors based on the assistance of high-sensitivity acoustic wave sensors; Section 4 discusses the software design of automatic correction system for English pronunciation errors based on the assistance of high-sensitivity sound wave sensor; Section 5 conducts system test and its result analysis; Section 6 is the conclusion

  • The accuracy of the feedback information, otherwise the learning system will not help users improve their language skills, but will make users become accustomed to repeating mistakes many times, so that system users cannot achieve the purpose of oral practice, completely deviating from the original intention of the correction system design (Figure 6)

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Summary

Introduction

In the process of learning English, there is a phenomenon that some learners’ spoken language is poor, and as a critical and difficult part of English learning, spoken language has received increasing attention. Relying on the optimized design of the pronunciation recognition sensor and the improved design of the pronunciation recognition processor, the software design of the system is completed based on the design of the English pronunciation acquisition program and the extraction of English pronunciation error signal parameters. In this process, the amount of data is large and the calculations are more complicated, the calculation process of each sentence is the same [6]. The detailed chapters are arranged as follows: Section 2 introduces the methods and principles of time-domain signal amplitude measurement and pronunciation signal preprocessing; Section 3 proposes the hardware design of automatic correction system for English pronunciation errors based on the assistance of high-sensitivity acoustic wave sensors; Section 4 discusses the software design of automatic correction system for English pronunciation errors based on the assistance of high-sensitivity sound wave sensor; Section 5 conducts system test and its result analysis; Section 6 is the conclusion

Methods and Principles
Design optimization
System Test and Result Analysis
Conclusions
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