Developing a speaking practice website by using automatic speech recognition technology

Howard Hao Jan Chen*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationEmerging Technologies for Education - 1st International Symposium, SETE 2016 Held in Conjunction with ICWL 2016, Revised Selected Papers
EditorsRosella Gennari, Yiwei Cao, Yueh-Min Huang, Wu Wu, Haoran Xie
PublisherSpringer Verlag
Pages671-676
Number of pages6
ISBN (Print)9783319528359
DOIs
Publication statusPublished - 2017
Event1st International Symposium on Emerging Technologies for Education, SETE 2016 Held in Conjunction with ICWL 2016 - Rome, Italy
Duration: 2016 Oct 262016 Oct 29

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10108 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Symposium on Emerging Technologies for Education, SETE 2016 Held in Conjunction with ICWL 2016
Country/TerritoryItaly
CityRome
Period2016/10/262016/10/29

Keywords

  • Automatic speech recognition
  • EFL
  • Errors
  • Feedback
  • Speaking

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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