Data-driven approach to pronunciation error detection for computer assisted language teaching

  • Min Siong Liang*
  • , Zien Yong Hong
  • , Ren Yuan Lyu
  • , Yuang Chin Chiang
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

This paper describes an approach to pronunciation error detection for Computer-Assisted Pronunciation Teaching (CAPT). We focus on how to find the real pronunciation of the user. The data-driven based method was used to generate pronunciation errors hypotheses instead of knowledge-based method. In the experiment results, the error rate of pronunciation detection can achieve 10.56%. Finally, we applied this technique into our CAPT system.

Original languageEnglish
Title of host publicationProceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007
Pages359-361
Number of pages3
DOIs
StatePublished - 2007
Event7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007 - Niigata, Japan
Duration: 18 07 200720 07 2007

Publication series

NameProceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007

Conference

Conference7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007
Country/TerritoryJapan
CityNiigata
Period18/07/0720/07/07

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