Presentation 2002/1/18
Computer-Assisted English Prosody Learning System based on Automatic Detection of Sentence Stress and Stress-Timing
Kazunori IMOTO, Masatake DANTSUJI, Tatsuya KAWAHARA,
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Abstract(in English) Computer-Assisted English Prosody Learning System for Japanese learners is presented. Learners' pronunciation is evaluated by automatic detection of sentence stressed syllables and foot durations which compose stress-timing rhythm. Syllable HMMs are categorized based on error patterns of stress. This modeling makes it possible to give effective error diagnosis instruction. And we propose a method of multistage discrimination that reflects native speakers' perception. As the result of experiences, the rate of stress detection have reached 95.1% and 84.1% for native and Japanese speakers, respectively. Furthermore, foot templates are constructed from native speech for stress-timing evaluation. Foot templates are categorized based on speaking rate, the number of syllables, syllable structure and so on. The timing score by templates are compared with the human judgement of English teacher.
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Keyword(in English) prosody / CALL / stress rhythm / HMM / a multi-stage discrimination
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Conference Date 2002/1/18(1days)
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Language JPN
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Title (in English) Computer-Assisted English Prosody Learning System based on Automatic Detection of Sentence Stress and Stress-Timing
Sub Title (in English)
Keyword(1) prosody
Keyword(2) CALL
Keyword(3) stress rhythm
Keyword(4) HMM
Keyword(5) a multi-stage discrimination
1st Author's Name Kazunori IMOTO
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:Gradurate School of Informatics
3rd Author's Name Tatsuya KAWAHARA
3rd Author's Affiliation Graduate School of Informatics, Kyoto University
Date 2002/1/18
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Volume (vol) vol.101
Number (no) 604
Page pp.pp.-
#Pages 8
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