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Developing a Speaking Practice Website by Using Automatic Speech Recognition Technology

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Emerging Technologies for Education (SETE 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10108))

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Abstract

English oral communication ability has become increasingly important for many EFL learners. This paper introduces how we use a new automatic speech recognition technology to develop a website for EFL students. This website offers several different types of exercises which allow students to practice speaking and obtain immediate feedback. A group of 30 EFL students were invited to use the website. A survey was conducted to investigate students’ perceptions of this site. The results indicated that most students enjoyed using this website; they also felt the site could help improve their English oral skills. Students, however, also pointed out that the website content and design can be further improved.

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Author information

Authors and Affiliations

  1. Department of English, National Taiwan Normal University, Taipei, Taiwan

    Howard Hao-Jan Chen

Authors
  1. Howard Hao-Jan Chen
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Correspondence to Howard Hao-Jan Chen .

Editor information

Editors and Affiliations

  1. National Yunlin University of Science and Technology, Yunlin, Taiwan

    Ting-Ting Wu

  2. Free University of Bozen-Bolzano, Rome, Italy

    Rosella Gennari

  3. National Cheng-Kung University, Tainan, Taiwan

    Yueh-Min Huang

  4. The Education University of Hong Kong, Hong Kong, Hong Kong

    Haoran Xie

  5. MC Information Multimedia Communication AG, SaarbrĂĽcken, Germany

    Yiwei Cao

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Chen, H.HJ. (2017). Developing a Speaking Practice Website by Using Automatic Speech Recognition Technology. In: Wu, TT., Gennari, R., Huang, YM., Xie, H., Cao, Y. (eds) Emerging Technologies for Education. SETE 2016. Lecture Notes in Computer Science(), vol 10108. Springer, Cham. https://doi.org/10.1007/978-3-319-52836-6_71

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  • DOI: https://doi.org/10.1007/978-3-319-52836-6_71

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52835-9

  • Online ISBN: 978-3-319-52836-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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