DocumentCode
3140748
Title
Data-Driven Approach to Pronunciation Error Detection for Computer Assisted Language Teaching
Author
Liang, Min-Siong ; Hong, Zien-Yong ; Lyu, Ren-Yuan ; Chiang, Yuang-chin
Author_Institution
Chang Gung Univ., Taoyuan
fYear
2007
fDate
18-20 July 2007
Firstpage
359
Lastpage
361
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.
Keywords
computer aided instruction; linguistics; teaching; computer assisted language teaching; data-driven approach; knowledge-based method; pronunciation error detection; Computer errors; Computer science; Education; Error analysis; Flowcharts; Hidden Markov models; Natural languages; Speech recognition; Speech synthesis; Stress;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Learning Technologies, 2007. ICALT 2007. Seventh IEEE International Conference on
Conference_Location
Niigata
Print_ISBN
0-7695-2916-X
Type
conf
DOI
10.1109/ICALT.2007.111
Filename
4281035
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