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Evaluation Model of English Continuous Pronunciation Teaching Quality Based on Cloud Computing

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e-Learning, e-Education, and Online Training (eLEOT 2021)

Abstract

In the conventional continuous speech evaluation system, the accuracy of the analysis is low when the speech information is evaluated. Therefore, a continuous pronunciation teaching quality evaluation system based on cloud computing platform is proposed. After analyzing the whole design of the evaluation model of English continuous pronunciation teaching quality, cloud computing technology is introduced to set up the evaluation framework of English continuous pronunciation teaching quality; Relying on the determination of the evaluation algorithm of English continuous pronunciation teaching quality, the maximum likelihood parameter is calculated and the evaluation model of English continuous pronunciation teaching quality is embedded to realize the construction of English continuous pronunciation teaching quality evaluation model. The experimental study shows that evaluation model of english continuous pronunciation teaching quality based on cloud computing designed in cloud computing can improve the teaching quality and students’ performance.

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Zhao, D., Jiang, Gm. (2021). Evaluation Model of English Continuous Pronunciation Teaching Quality Based on Cloud Computing. In: Fu, W., Liu, S., Dai, J. (eds) e-Learning, e-Education, and Online Training. eLEOT 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 390. Springer, Cham. https://doi.org/10.1007/978-3-030-84386-1_29

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  • DOI: https://doi.org/10.1007/978-3-030-84386-1_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-84385-4

  • Online ISBN: 978-3-030-84386-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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