Presentation 2010-06-18
Lecture Speech Recognition Based on Word Graph Combination by Using Quinphone HM-Net
Masaharu KATO, Tetsuo KOSAKA, Akinori ITO, Shozo MAKINO,
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Abstract(in English) While high recognition performance has been achieved for read speech, rather poor performance has been reported for spontaneous speech recognition because it has various problems, such as hesitations, filled pauses, unclear pronunciation, and so on. In particular, acoustic variation caused by coarticulation has become a serious problem. In order to solve the problem, context-dependent models such as triphone or quinphone are used for recognition. However, the strength of coarticulatory effect varies widely in spontaneous speech. In this study, we attempt to improve the recognition performance by using a technique of word graph combination in which various acoustic models are combined.
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Keyword(in English) word graph combination / quinphone / HM-Net / spontaneous speech / speech recognition
Paper # SP2010-28
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Committee SP
Conference Date 2010/6/10(1days)
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Registration To Speech (SP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Lecture Speech Recognition Based on Word Graph Combination by Using Quinphone HM-Net
Sub Title (in English)
Keyword(1) word graph combination
Keyword(2) quinphone
Keyword(3) HM-Net
Keyword(4) spontaneous speech
Keyword(5) speech recognition
1st Author's Name Masaharu KATO
1st Author's Affiliation Graduate School of Science and Engineering, Yamagata University()
2nd Author's Name Tetsuo KOSAKA
2nd Author's Affiliation Graduate School of Science and Engineering, Yamagata University
3rd Author's Name Akinori ITO
3rd Author's Affiliation Graduate Scool of Engineering, Tohoku University
4th Author's Name Shozo MAKINO
4th Author's Affiliation Graduate Scool of Engineering, Tohoku University
Date 2010-06-18
Paper # SP2010-28
Volume (vol) vol.110
Number (no) 81
Page pp.pp.-
#Pages 6
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