English Pronunciation Training Research Articles

Retracted: Optimization of Intelligent English Pronunciation Training System Based on Android Platform

Retracted: Optimization of Intelligent English Pronunciation Training System Based on Android Platform

Thinking about the Way of English Pronunciation Training Penetrating into English Speech Training

Thinking about the Way of English Pronunciation Training Penetrating into English Speech Training

The Modular Design of an English Pronunciation Level Evaluation System Based on Machine Learning

To improve the accuracy of English pronunciation level evaluation, we study the modularization of the English pronunciation level evaluation system unfolding based on machine learning. The S3C2440A chip is used as the main processor of the system, and the spoken English recordings are sent to the evaluation module through the speech upload module. In the evaluation module, the pronunciation signal is filtered by the multilayer wavelet feature scale transformation method, and the intonation, speed, pitch, rhythm, and emotion features are decomposed and extracted. The test results show that the misjudgment rate of different mispronunciations is less than 1% when the system is used to evaluate the English pronunciation level, which proves that it has high evaluation accuracy. In-depth study of speech recognition related theories, speech scoring, and pronunciation correction algorithms are discussed, and an assisted learning system based on AP scoring method and pronunciation resonance peak comparison technology is proposed for the problem of inaccurate pronunciation scoring and lack of effective feedback of speech recognition technology applied to oral learning. The English pronunciation training system has achieved the expected pronunciation following of English phonetic symbols and words, real-time pronunciation. The English pronunciation training system has achieved all basic functions such as pronunciation following, real-time pronunciation evaluation, and pronunciation correction of English phonemes and works as expected. After testing, the system has achieved high accuracy in pronunciation scoring, and the similarity with experts’ scoring is over 90% for vowel and word pronunciation; the efficiency of pronunciation correction reaches 80%, which can improve learners’ pronunciation level to a certain extent.

English Pronunciation Training Using Smartphones:

English Pronunciation Training Using Smartphones:

Using a SPOC-based flipped classroom instructional mode to teach English pronunciation

As a concept established on MOOC, SPOC has been used by many instructors in universities. Although SPOC-based flipped classroom instructional modes have been applied in many disciplines including English learning in China, no empirical study has tried to disentangle the application of the modes in teaching English pronunciation. This study reports the application of an instructional mode combining SPOC and flipped instruction in teaching English pronunciation for college students majoring in English Education. The effectiveness of this mode was assessed in terms of students’ mastery of knowledge in English pronunciation, accuracy of students’ pronunciation and students’ satisfaction to the class. The freshmen enrolled in a university in 2018 were labeled as the controlled group and those enrolled in 2019 and 2020 comprised the experimental groups. Results showed that the experimental groups significantly outperformed the controlled group in the mastery of knowledge and the accuracy of pronunciation. In addition, the improvement in students’ pronunciation was not as much as that in their degree of mastering the knowledge. All students in experimental groups indicated a high degree of satisfaction to the teaching mode. These results prove that SPOC-based flipped classroom instructional mode not only can attain positive perceptions from students but also can be helpful for improving students’ learning of knowledge in pronunciation and correctness of pronunciation. However, more input and practice opportunities are still needed to make a better enhancement in students’ English pronunciation, which can be expected to be achieved by virtual simulation systems for English pronunciation training.

Optimization of Intelligent English Pronunciation Training System Based on Android Platform

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.

Optimization of Computer-aided English Pronunciation Training Data Analysis System

Optimization of Computer-aided English Pronunciation Training Data Analysis System

Applying adaptive recognition of the learner’s vowel space to English pronunciation training of native speakers of Japanese

When native speakers of Japanese are taught English as a second language, there are difficulties with their training in pronunciation of American English vowels that can be ameliorated though adaptive recognition of the learner’s vowel space. This paper reports on the development of an online Computer-Assisted Language Learning (CALL) environment that provides Japanese learners with customized target utterances of 12 single-syllable words that are synthesized according to an adaptive recognition of the learner’s vowel space. These customized target utterances provide each learner with examples of each of 12 American English monophthongs in consonant-vowel-consonant (CVC) context in order to sound as if they had been uttered by the learners themselves. This adaptive process was incorporated into a successfully developed tool for Computer-Assisted Pronunciation Training (CAPT) which gave more appropriate pronunciation targets to each learner, rather than forcing the learners to attempt to match the formant frequencies of their own utterances to those of the target utterances as produced by a speaker exhibiting a different vowel space (i.e., a speaker with a different vocal tract length).

FACILITATING PROPER ENGLISH PRONUNCIATION IN STORYTELLING BY VIRTUE OF HIJAIYAH SOUND MEDIATION

Story telling has been an icon of local culture preservation. Since local wisdoms knotted in local cultures are prone to be eroded along the changing eras, an effort to bring back and preserve them should be the penultimate concern, before implementing those values in real basis. Folklores have been the media to incarnate those local wisdoms, and thus this book is worth referring to when it comes to the topic of folklores for storytelling. All folklores covered in this book are originating from Indonesia, as the name suggests, “Nusantara”, served in bilingual versions – Bahasa and English. A series of training and drilling were planned to be conducted in SMP Negeri 02 and 03 Batu so as to project the English pronunciation precision. The stages include the followings: (1) FGD (Focused-Group Discussion) between researchers and the teachers as well as the students to tap challenging sounds susceptible to be mispronounced during storytelling the folklores taken from the book; (2) mapping corresponding English-Hijaiyah sounds to train; (3) modeling by CS Team and English teachers; (4) the students’ English pronunciation training by means of Hijaiyah corresponding sounds; (5) reflection and feedback for the betterment of training activities; (6) the students’ simulation for storytelling; and (7) video taking and making.

Design of Students’ Spoken English Pronunciation Training System Based on Computer VB Platform

Spoken English communication is most commonly used in the international communication. However, the accuracy of spoken English pronunciation is the key factor to restrict English learners in China. For the current situation that spoken English proficiency is generally low in China, this paper aims to design a spoken English pronunciation training system that will provide guidance and help for English learners’ spoken pronunciation. The Visual Basic platform is used in the design of the system. This paper first conducts an in-depth study on the related theories of voice recognition, discusses the correction algorithm of voice scoring and pronunciation, and puts forward more practical and convenient AP-based scoring method, providing full theoretical support for the design of the system. Then through the function analysis and design of the spoken English pronunciation training system, this paper realizes the system design of scoring and correcting errors of English spoken pronunciation based on the VB platform. The system boasts the basic functions, including English phonetic symbols and word pronunciation to follow, real-time voice evaluation, and pronunciation error correction. According to the test, the similarity of the system with the experts is over 90% in scoring and its efficiency of pronunciation error correction reaches 80%, which plays a certain role in improving spoken English of English learners.

A Study on Visual Support Way in English Pronunciation Training System and Consideration on Pronunciation Instructions

A Study on Visual Support Way in English Pronunciation Training System and Consideration on Pronunciation Instructions

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

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.

Research on English pronunciation training based on intelligent speech recognition

When learning English, Chinese students tend to spend a lot of time in practicing reading and writing skills, while neglecting their ability to speak English. This study presented a speech recognition-based intelligent spoken English pronunciation training system which took Mel Frequency Cepstral Coefficients as the characteristic parameter of speech signal and introduced deep neural network algorithm to improve the accuracy of speech recognition. Taking tone, speech speed and intonation as the evaluation criteria, a simulation experiment of artificial evaluation and machine evaluation was carried out. The results demonstrated that deep neural network had high speech recognition rate, and the three evaluation criteria were reliable, which provides a reference for the development of spoken English learning system.

English pronunciation training through the eyes of university graduates

The aim of the current study is to examine the program of pronunciation training and its implementation from a new perspective, which is that of MA graduates. The data were obtained from 65 graduates of the Faculty of English at Adam Mickiewicz University in Poznań by means of an online survey. The research questions posed in the study explore the matter of taught models and varieties of English, materials, teaching, and opinions regarding the accent the participants received. By providing a new perspective on the teaching and learning of pronunciation the study might help university teachers to enhance the pronunciation courses in their institutions.

Reducing student teachers' foreign language pronunciation anxiety through psycho-social training

Foreign language anxiety (FLA) is one of the most examined affective variables in the field of foreign language (FL) learning and researchers have verified FLA reducing strategies of various kinds. In this study, psycho-social training as an FLA reducing strategy was applied to a group of TEFL students (experimental group) combined with intensive English pronunciation training (experimental and control groups). Psycho-social training is a non-therapeutic intervention program of active social learning that should help individuals cope with stressful situations. A self-reported Foreign Language Pronunciation Anxiety (FLPA) questionnaire was used to examine the students' English pronunciation anxiety before and after the training and the students' English pronunciation was evaluated before and after the training. Based on the results of the statistical analysis it can be stated that the levels of pronunciation anxiety and pronunciation quality were similar in both groups before the training. After the training, anxiety was significantly lower and pronunciation quality was significantly higher in the experimental group.

Proposal of the Way of English Pronunciation Training Evaluation by Lip Movement

Proposal of the Way of English Pronunciation Training Evaluation by Lip Movement

Perspectives upon Integrating Music into Freshman English Pronunciation Training Classroom

This study explores the effects of integrating music into English pronunciation practice. Ninety-five English major students from a technological university located in central Taiwan participated in this project. Six songs were selected and played by means of using YouTube. Students were given a list of vocabulary words selected from the lyrics and learned pertinent pronunciation rules that were augmented with phonetic symbols. They were asked to take quizzes that required memorizing the song’s lyrics. The findings point out that almost all students enjoyed listening to songs and indicated that they had become more familiar with many English songs and the rules of pronunciation by practicing singing and memorizing the lyrics.

English Pronunciation Training and Custom-Made Speaking Site for Training and Testing

English Pronunciation Training and Custom-Made Speaking Site for Training and Testing

An empirical examination of EFL learners' perceptual learning styles and acceptance of ASR-based computer-assisted pronunciation training

This study aims to explore the structural relationships among the variables of EFL (English as a foreign language) learners' perceptual learning styles and Technology Acceptance Model (TAM). Three hundred and forty-one (n = 341) EFL learners were invited to join a self-regulated English pronunciation training program through automatic speech recognition (ASR) computer system. Participants were asked to actively undertake the interactions with ASR-based computer-assisted pronunciation training (CAPT) on a daily basis for three months. They were directed to finish a questionnaire on their perceptual learning style and technology acceptance. The collected data were analysed with descriptive statistics and structural equation model to investigate the structural relationships. Results show that most participants were visual learners; furthermore, no significant relationship between any type of perceptual learning style and perceived usefulness was discovered. Visual style as well as kinaesthetic style was found to be significantly influential to perceived ease of use which further significantly led to perceived usefulness. Perceived usefulness was significantly related to attitude of using the system that was decisive to EFL learners' continuing use of ASR-based CAPT.

Design of English Pronunciation Training System for Android

This paper is devoted to an English Pronunciation training system on the Android platform with functions like English transcription, word pronunciation demonstration, listening and repeating, pronunciation comparison, grading, pronunciation feedback and correction. The training system is designed and developed in line with the characteristics of Android operation system, giving full play to the advantages of Android platform by calling the relevant functions of function interface and components to improve the development efficiency of the system. The system is of high real-time and reliability with a series of multimedia techniques like the pronunciation mouth video-based animation, internal mouth structure figure, pronunciation guidance of mouth and tongue positions, and can effectively guide the learners to learn and practice English pronunciation.