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Media type:
E-Article
Title:
Design of English pronunciation quality evaluation system based on the deep learning model
Contributor:
Zhang, Fangfang;
Zhou, Zhihong
imprint:
Walter de Gruyter GmbH, 2023
Published in:Applied Mathematics and Nonlinear Sciences
Language:
English
DOI:
10.2478/amns.2023.1.00460
ISSN:
2444-8656
Origination:
Footnote:
Description:
<jats:title>Abstract</jats:title>
<jats:p>To explore the design of the English pronunciation quality evaluation system, a design of the English pronunciation quality evaluation system based on a deep learning model is proposed. This method explores the research of English pronunciation quality evaluation by recommending key technical problems and solutions based on information represented by the deep learning model. The research shows that the efficiency of the English pronunciation quality evaluation system based on a deep learning model is about 30% higher than that of traditional methods. Through the experimental verification, the English pronunciation quality evaluation model method is reasonable and reliable. It can give learners timely, accurate, and objective evaluation and feedback guidance, help learners find out the difference between their pronunciation and standard pronunciation, correct pronunciation errors, and improve the efficiency of English spoken language learning.</jats:p>