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Article published In:
Journal of Second Language Pronunciation
Vol. 4:2 (2018) ► pp.182–207

Directions for the future of technology in pronunciation research and teaching

| University of Calgary
| University of Alberta | Simon Fraser University
| Radboud University
| Michigan State University
| Beuth University Berlin
| Brock University
| Radboud University
| Iowa State University
| Simon Fraser University
| University of Alberta
| Iowa State University

This paper reports on the role of technology in state-of-the-art pronunciation research and instruction, and makes concrete suggestions for future developments. The point of departure for this contribution is that the goal of second language (L2) pronunciation research and teaching should be enhanced comprehensibility and intelligibility as opposed to native-likeness. Three main areas are covered here. We begin with a presentation of advanced uses of pronunciation technology in research with a special focus on the expertise required to carry out even small-scale investigations. Next, we discuss the nature of data in pronunciation research, pointing to ways in which future work can build on advances in corpus research and crowdsourcing. Finally, we consider how these insights pave the way for researchers and developers working to create research-informed, computer-assisted pronunciation teaching resources. We conclude with predictions for future developments.

Keywords: pronunciation, technology, data, computer-assisted pronunciation teaching, research, future directions, automatic speech recognition, intelligibility, comprehensibility
Article outline
  • 1.Introduction
  • 2.Current uses of technology in pronunciation research
    • 2.1Freeware
    • 2.2Automatic speech recognition (ASR)
    • 2.3Text to speech
    • 2.4The cloud
  • 3.Data collection
    • 3.1Spoken learner corpora
    • 3.2Collecting data through crowdsourcing
  • 4.Computer-assisted pronunciation teaching (CAPT)
    • 4.1Carrying out research on CAPT
    • 4.2Examples of effective CAPT and research
      • 4.2.1Visual tools
      • 4.2.2ASR tools
  • 5.Encouraging collaboration
  • 6.Future directions
  • Acknowledgements
  • Note
  • References
Available under the Creative Commons Attribution-NonCommercial (CC BY-NC) 4.0 license.

For any use beyond this license, please contact the publisher at rights@benjamins.nl.

Published online: 1 February 2019
DOI logo
https://doi.org/10.1075/jslp.17001.obr
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