Design of an Automatic English Pronunciation Error Correction System Based on Radio Magnetic Pronunciation Recording Devices

In this paper, a system for automatic detection and correction of mispronunciation of native Chinese learners of English by speech recognition technology is designed with the help of radiomagnetic pronunciation recording devices and computer-aided software. This paper extends the standard pronunciation dictionary by predicting the phoneme confusion rules in the language learner’s pronunciation that may lead to mispronunciation and generates an extended pronunciation dictionary containing the standard pronunciation of each word and the possible mispronunciation variations, and automatic speech recognition uses the extended pronunciation dictionary to detect and diagnose the learner’s mispronunciation of phonemes and provides real-time feedback. It is generated by systematic crosslinguistic phonological comparative analysis of the differences in phoneme pronunciation with each other, and a data-driven approach is used to do automatic phoneme recognition of learner speech and analyze the mapping relationship between the resulting mispronunciation and the corresponding standard pronunciation to automatically generate additional phoneme confusion rules. In this paper, we investigate various aspects of several issues related to the automatic correction of English pronunciation errors based on radiomagnetic pronunciation recording devices; design the general block diagram of the system, etc.; and discuss some key techniques and issues, including endpoint detection, feature extraction, and the system’s study of pronunciation standard algorithms, analyzing their respective characteristics. Finally, we design and implement a model of an automatic English pronunciation error correction system based on a radiomagnetic pronunciation recording device. Based on the characteristics of English pronunciation, the correction algorithm implemented in this system uses the similarity and pronunciation duration ratings based on the log posterior probability, which combines the scores of both, and standardizes this system scoring through linear mapping. This system can achieve the purpose of automatic recognition of English mispronunciation correction and, at the same time, improve the user’s spoken English pronunciation to a certain extent.

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Intelligent Error Correction of Oral English Pronunciation Based on Speech Recognition Technology

10.1109/icicta51737.2020.00075 ◽

2020 ◽

Author(s):

Yan Li ◽

Panpan Du

Keyword(s):

Speech Recognition ◽

Error Correction ◽

Speech Recognition Technology ◽

English Pronunciation

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Intelligent Correction System of Students’ English Pronunciation Errors Based on Speech Recognition Technology

WSEAS TRANSACTIONS ON ADVANCES in ENGINEERING EDUCATION ◽

10.37394/232010.2021.18.19 ◽

2021 ◽

Vol 18 ◽

pp. 192-198

Author(s):

Meili Dai

Keyword(s):

Speech Recognition ◽

Correction Function ◽

Practical Application ◽

Speech Recognition Technology ◽

English Pronunciation ◽

Calculation Results ◽

Execution Environment ◽

Voice Data ◽

Software Execution ◽

Correction System

With the increasingly frequent international exchanges, English has become a common language for communication between countries. Under this research background, in order to correct students’ wrong English pronunciation, an intelligent correction system for students’ English pronunciation errors based on speech recognition technology is designed. In order to provide a relatively stable hardware correction platform for voice data information, the sensor equipment is optimized and combined with the processor and intelligent correction circuit. On this basis, the MLP (Multilayer Perceptron) error correction function is defined, with the help of the known recognition confusion calculation results, the actual input speech error is processed by gain mismatch, and the software execution environment of the system is built. Combined with the related hardware structure, the intelligent correction system of students’ English pronunciation error based on speech recognition technology is successfully applied, and the comparative experiment is designed the practical application value of the system is highlighted.

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PENERAPAN TEKNOLOGY SPEECH RECOGNITION UNTUK LATIHAN PRONUNCIATION BAHASA INGGRIS MELALUI METODE DICTATION DI PROGRAM STUDI MULTIMEDIA BROADCASTING POLITEKNIK ELEKTRONIKA NEGERI SURABAYA

NJCA (Nusantara Journal of Computers and Its Applications) ◽

10.36564/njca.v3i1.63 ◽

2018 ◽

Vol 3 (1) ◽

Cited By ~ 1

Author(s):

Aliv Faizal M ◽

Akhmad Alimudin

Keyword(s):

Student Achievement ◽

Speech Recognition ◽

Training Sequence ◽

English Learning ◽

Motivation To Learn ◽

Study Program ◽

Face To Face ◽

Track Record ◽

Speech Recognition Technology ◽

English Pronunciation

English pronunciation has long been taught through the delivery of phonetic symbols to study the sound of each phoneme in English. In Multimedia Broadcasting study program at Surabaya State Electronics Polytechnic, pronunciation has long been delivered to the students through guidebooks in the form of phonetic symbols that teach basic sound pronunciation in English. English teachers practice the sound of each phoneme directly to thestudents. After going through various observations based on the track record of student achievement of this pronunciation material, I as a teacher as well as researcher found that my student achievement was less than the desired target. This was due to the limited source of English pronunciation learning where students only learned face-to-face in the classroom. Through the use of English learning media of pronunciation interactively using speech recognition technology, it was expected that Multimedia Broadcasting course students in Surabaya State Electronics Polytechnic could improve their English pronunciation ability. After students complete the English pronunciation training sequence using pronunciation application using speech recognition technology, the data from the interview stated that the students felt more confident and improved their pronunciation ability and also felt the increased motivation to learn English pronunciation using English pronunciation learning app using speech recognition technology.Keywords: English pronunciation, teaching, multimedia, speech recognition technology, and pronunciation app.

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Research on Text Error Correction Algorithm after Automatic Speech Recognition Based on Pragmatic Information

2020 International Conference on Control, Robotics and Intelligent System ◽

10.1145/3437802.3437830 ◽

2020 ◽

Author(s):

Yiming Sun ◽

Tianyu Xiao ◽

Chen Yang ◽

Wei Liu

Keyword(s):

Speech Recognition ◽

Error Correction ◽

Automatic Speech Recognition ◽

Correction Algorithm ◽

Pragmatic Information ◽

Error Correction Algorithm

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A Digital Velocity and Amplitude Error-Correction System for Component Time Base Correctors

SMPTE Journal ◽

10.5594/j06501 ◽

1988 ◽

Vol 97 (11) ◽

pp. 901-907

Author(s):

Robert L. Bleidt

Keyword(s):

Error Correction ◽

Time Base ◽

Amplitude Error ◽

Component Time ◽

Correction System

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Technical Note: theoretical and simulation approaches to error correction strategies in automatic speech recognition

International Journal of Man-Machine Studies ◽

10.1006/imms.1993.1071 ◽

1993 ◽

Vol 39 (3) ◽

pp. 517-520

Author(s):

W.A. Ainsworth

Keyword(s):

Speech Recognition ◽

Error Correction ◽

Automatic Speech Recognition ◽

Technical Note ◽

Correction Strategies

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Simple gesture-based error correction interface for smartphone speech recognition

10.21437/interspeech.2014-302 ◽

2014 ◽

Author(s):

Yuan Liang ◽

Koji Iwano ◽

Koichi Shinoda

Keyword(s):

Speech Recognition ◽

Error Correction

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Colour Recognition Algorithm Based on Colour Mapping Knowledge for Wooden Building Image

Scientific Programming ◽

10.1155/2022/1313819 ◽

2022 ◽

Vol 2022 ◽

pp. 1-11

Author(s):

Siyi Jia ◽

Heng Chen

Keyword(s):

Mutual Influence ◽

Block Diagram ◽

Recognition Algorithm ◽

Linear Mapping ◽

Display Device ◽

Mapping Algorithm ◽

Image Reproduction ◽

Reproduction Process ◽

Mapping Technology ◽

Image Pixels

In the cross-media image reproduction technology, the accurate transfer and reproduction of colour between different media are an important issue in the reproduction process, and the colour mapping technology is the key technology to effectively maintain the image details and improve the level of colour reproduction. Wooden structure in the image colour and colour piece is different, the image of each colour of visual perception is not independent, and every colour in the image pixels is affected by the surrounding pixels, but in the process of image map, without thinking of the pixel space, adjacent pixels of mutual influence in particular, do not let a person particularly be satisfied with the resulting map figure. In the process of image processing by traditional colour mapping algorithm, the colour distortion caused by colour component is ignored and the block diagram of colour mapping system is constructed. With the continuous development of mapping recognition algorithms, the maximum and minimum brightness values in the image are mapped to the maximum and minimum brightness values of the display device by linear mapping algorithm according to the flow of the established recognition algorithm. By establishing the colour adjustment method of the colour mapping image, the processing effect of the mapping algorithm is analysed. The results show that the brightness deviation of the image is reduced and the colour resolution is improved by the colour brightness compensation.

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