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Promoting English Pronunciation via Mobile Devices-Based Automatic Speech Evaluation (ASE) Technology

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Blended Learning. Enhancing Learning Success (ICBL 2018)

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Abstract

Traditional English teaching in China pays insufficient attention to phonetics teaching and usually leads to learners’ poor pronunciation. With the rapid development of the Automatic Speech Evaluation (ASE) technology, many applications are designed to help learners improve their pronunciation. However, no formal conclusion has been made on the effectiveness of ASE-based “imitating-speaking” with immediate feedbacks in English phonetics learning. This study analyzes the validity of the ASE-based “imitating-speaking” by using Fluent English as the tool of the two-month experiment. 64 learners in China are chosen as the subjects and they are divided into an experimental group and a control one. The result turns out that ASE-based “imitating-speaking” helps to improve learners’ pronunciation and intonation. Moreover, on the basis of the result of the experiment, the study sums up some relative teaching and learning strategies that are employed in this phonetics learning method.

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Acknowledgment

This paper is the result of the following funds: South China Normal University scientific research foundation for fostering junior teachers in social science (13SK04); Guangdong Higher Education Teaching Reform Project 2015 No. 204; Guangdong “13th Five-Year” Plan Co-funded Project of Philosophy & Social Science (GD16XWW25). The research is also supported by Beijing Competency Edu-Tech Institute. The corresponding author of the paper is Manfei Xu.

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Correspondence to Manfei Xu .

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Liu, X., Zhu, C., Jiao, J., Xu, M. (2018). Promoting English Pronunciation via Mobile Devices-Based Automatic Speech Evaluation (ASE) Technology. In: Cheung, S., Kwok, Lf., Kubota, K., Lee, LK., Tokito, J. (eds) Blended Learning. Enhancing Learning Success. ICBL 2018. Lecture Notes in Computer Science(), vol 10949. Springer, Cham. https://doi.org/10.1007/978-3-319-94505-7_27

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  • DOI: https://doi.org/10.1007/978-3-319-94505-7_27

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-94505-7

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