A Convolutional Network-Based Intelligent Evaluation Algorithm for the Quality of Spoken English Pronunciation

Aiming at the problems of long time consumption and low accuracy of traditional spoken English pronunciation quality assessment algorithms, a convolutional network-based intelligent assessment algorithm for spoken English pronunciation quality is proposed. The convolutional neural network structure...

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Main Author: Xia Zhan
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2022/7560033
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author Xia Zhan
author_facet Xia Zhan
author_sort Xia Zhan
collection DOAJ
description Aiming at the problems of long time consumption and low accuracy of traditional spoken English pronunciation quality assessment algorithms, a convolutional network-based intelligent assessment algorithm for spoken English pronunciation quality is proposed. The convolutional neural network structure is given, the original data of the spoken English pronunciation voice signal are collected by multisensor detection, and the spoken English pronunciation voice signal model is constructed. Based on audio and convolutional neural network learning and training, it realizes the feature selection and classification recognition of spoken English pronunciation. The PID algorithm is used to extract the emotional elements of spoken English at different levels to achieve accurate assessment of the quality of spoken English pronunciation. The experimental results show that the average correct rate of spoken English pronunciation of the algorithm in this paper is 94.58%, the pronunciation quality score is 8.52–9.18, and the detection time of 100 phrases is 2.4 s.
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institution Kabale University
issn 2314-4785
language English
publishDate 2022-01-01
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series Journal of Mathematics
spelling doaj-art-754be8b15b254c9e84b67231e2b408722025-02-03T01:00:13ZengWileyJournal of Mathematics2314-47852022-01-01202210.1155/2022/7560033A Convolutional Network-Based Intelligent Evaluation Algorithm for the Quality of Spoken English PronunciationXia Zhan0School of Foreign LanguagesAiming at the problems of long time consumption and low accuracy of traditional spoken English pronunciation quality assessment algorithms, a convolutional network-based intelligent assessment algorithm for spoken English pronunciation quality is proposed. The convolutional neural network structure is given, the original data of the spoken English pronunciation voice signal are collected by multisensor detection, and the spoken English pronunciation voice signal model is constructed. Based on audio and convolutional neural network learning and training, it realizes the feature selection and classification recognition of spoken English pronunciation. The PID algorithm is used to extract the emotional elements of spoken English at different levels to achieve accurate assessment of the quality of spoken English pronunciation. The experimental results show that the average correct rate of spoken English pronunciation of the algorithm in this paper is 94.58%, the pronunciation quality score is 8.52–9.18, and the detection time of 100 phrases is 2.4 s.http://dx.doi.org/10.1155/2022/7560033
spellingShingle Xia Zhan
A Convolutional Network-Based Intelligent Evaluation Algorithm for the Quality of Spoken English Pronunciation
Journal of Mathematics
title A Convolutional Network-Based Intelligent Evaluation Algorithm for the Quality of Spoken English Pronunciation
title_full A Convolutional Network-Based Intelligent Evaluation Algorithm for the Quality of Spoken English Pronunciation
title_fullStr A Convolutional Network-Based Intelligent Evaluation Algorithm for the Quality of Spoken English Pronunciation
title_full_unstemmed A Convolutional Network-Based Intelligent Evaluation Algorithm for the Quality of Spoken English Pronunciation
title_short A Convolutional Network-Based Intelligent Evaluation Algorithm for the Quality of Spoken English Pronunciation
title_sort convolutional network based intelligent evaluation algorithm for the quality of spoken english pronunciation
url http://dx.doi.org/10.1155/2022/7560033
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AT xiazhan convolutionalnetworkbasedintelligentevaluationalgorithmforthequalityofspokenenglishpronunciation