Presentation 2009/12/14
Investigation of the various normalization methods in English pronunciation evaluation
Masaru Kusumi, Masaharu Kato, Tetsuo Kosaka, Itaru Matunaga,
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Abstract(in English) We investigated the performance improvement in automatic evaluation of English pronunciation uttered by Japanese students. The system is based on the error detection method of non-native pronunciation proposed by Kawai et al. in which the acoustic models of two languages are used. In this case, there is a problem of the acoustic mismatch between acoustic models and input speech because of speaker characteristics and/or recording environment. Then we employ the cepstral mean normalization(CMN)or the histogram equalization(HEQ)in order to minimize the acoustic mismatch. In addition, we try to reduce the miss detection of pronunciation error by using the phoneme weighting method while keeping the relative differences between two languages.
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Committee NLC
Conference Date 2009/12/14(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
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Title (in English) Investigation of the various normalization methods in English pronunciation evaluation
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1st Author's Name Masaru Kusumi
1st Author's Affiliation Graduate School of Science and Engineering, Yamagata University()
2nd Author's Name Masaharu Kato
2nd Author's Affiliation Graduate School of Science and Engineering, Yamagata University
3rd Author's Name Tetsuo Kosaka
3rd Author's Affiliation Graduate School of Science and Engineering, Yamagata University
4th Author's Name Itaru Matunaga
4th Author's Affiliation Graduate School of Science and Engineering, Yamagata University:(Present office)VIC TOKAI
Date 2009/12/14
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Volume (vol) vol.109
Number (no) 355
Page pp.pp.-
#Pages 6
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