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<p>This paper explores a multimedia learning system suitable for students’ independent English learning through the current development of assisted English learning systems, university-level English teaching requirements, and learner characteristics. Based on the model of the proposed multimedia English learning system, in the endpoint detection stage of speech, short-time excess rate and short-time energy are combined to process the endpoint detection of speech. In the final speech comparison stage, the dynamic time planning algorithm DTW is analyzed and improved before the similarity recognition of speech. We also complete the requirement analysis of the English-speaking learning system by combining the relevant theories and applying the speech signal processing technology and template matching technology to realize a multimedia-assisted learning system suitable for college students to conduct independent English learning. Through the English-speaking test of two classes, the control class using traditional online teaching had many failures reaching 25%, while the experimental class using the English-assisted learning platform passed all of them. 80 points or more were achieved by only 5% of the control class, while 20% of the experimental class. The average score of the control class was 63.4, while the experimental class was 72.1, and the experimental class was 8.7 points higher than the control class. Therefore, teaching English-assisted learning platforms can improve students’ English-speaking abilities.</p>
</abstract>

This paper explores a multimedia learning system suitable for students’ independent English learning through the current development of assisted English learning systems, university-level English teaching requirements, and learner characteristics. Based on the model of the proposed multimedia English learning system, in the endpoint detection stage of speech, short-time excess rate and short-time energy are combined to process the endpoint detection of speech. In the final speech comparison stage, the dynamic time planning algorithm DTW is analyzed and improved before the similarity recognition of speech. We also complete the requirement analysis of the English-speaking learning system by combining the relevant theories and applying the speech signal processing technology and template matching technology to realize a multimedia-assisted learning system suitable for college students to conduct independent English learning. Through the English-speaking test of two classes, the control class using traditional online teaching had many failures reaching 25%, while the experimental class using the English-assisted learning platform passed all of them. 80 points or more were achieved by only 5% of the control class, while 20% of the experimental class. The average score of the control class was 63.4, while the experimental class was 72.1, and the experimental class was 8.7 points higher than the control class. Therefore, teaching English-assisted learning platforms can improve students’ English-speaking abilities.

Construction of an innovative model of English online teaching based on a multimedia English learning system model

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper explores a multimedia learning system suitable for students’ independent English learning through the current development of assisted English...

Construction of an innovative model of English online teaching based on a multimedia English learning system model

Online veröffentlicht: 09. Sept. 2023

Seitenbereich: -

Eingereicht: 21. Dez. 2022

Akzeptiert: 20. März 2022

DOI: https://doi.org/10.2478/amns.2023.2.00317

Schlüsselwörter
Multimedia, English teaching, DTW algorithm, Speech recognition technology, Short time over zero rate

© 2023 Hongyu Zhou, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Construction of an innovative model of English online teaching based on a multimedia English learning system model

Online veröffentlicht: 09. Sept. 2023

Seitenbereich: -

Eingereicht: 21. Dez. 2022

Akzeptiert: 20. März 2022

DOI: https://doi.org/10.2478/amns.2023.2.00317

SchlüsselwörterMultimedia, English teaching, DTW algorithm, Speech recognition technology, Short time over zero rate

© 2023 Hongyu Zhou, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Multimedia, English teaching, DTW algorithm, Speech recognition technology, Short time over zero rate