Presentation 2001/1/19
English Pronunciation Instruction System using Pair-wise Classifiers between Japanese Error Patterns
Yasushi Tsubota, Masatake Dantsuji, Tatsuya Kawahara,
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Abstract(in English) We have modelled typical English pronunciation errors of Japanese learners and design the system which gives effective instruction utilizing speech recognition technology. To texts for pronunciation learning, the system produces learner's pronunciation error candidates based on error patterns and speech recognizer with HMM identifies and segments learner's speech. As HMM speech recognition does not have suffcient discriminant accuracy, the system makes a pair-wise discriminant analysis of the phone segments. This analysis makes it possible to give effective instructions based on articulatory information. We have tested segmentation accuracy and discriminant ability of each method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) CALL / speech recognition / pairwise discriminant analysis / error patterns of Japanese learners / articulatory instruction
Paper # SP2000-125
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Conference Information
Committee SP
Conference Date 2001/1/19(1days)
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Paper Information
Registration To Speech (SP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) English Pronunciation Instruction System using Pair-wise Classifiers between Japanese Error Patterns
Sub Title (in English)
Keyword(1) CALL
Keyword(2) speech recognition
Keyword(3) pairwise discriminant analysis
Keyword(4) error patterns of Japanese learners
Keyword(5) articulatory instruction
1st Author's Name Yasushi Tsubota
1st Author's Affiliation Graduate School of Informatics Kyoto University()
2nd Author's Name Masatake Dantsuji
2nd Author's Affiliation Center for Information and Multimedia Studies:Graduate School of Informatics Kyoto University
3rd Author's Name Tatsuya Kawahara
3rd Author's Affiliation Graduate School of Informatics Kyoto University
Date 2001/1/19
Paper # SP2000-125
Volume (vol) vol.100
Number (no) 595
Page pp.pp.-
#Pages 8
Date of Issue