Presentation 2002/12/12
Syllable-Based Acoustical Modeling for Japanese Spontaneous Speech Recognition
Jun OGATA, Yasuo ARIKI,
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Abstract(in English) We study on a syllable-based acoustical modeling method for Japanese spontaneous speech recognition. Traditionally, mora-based acoustic models have been adopted for Japanese read speech recognition system. In this paper, syllable-based unit and mora-based unit are clealy distinguished in their definition, and syllables are shown to more suitable as an acoustic model in Japanese spontaneous speech recognition. In spontaneous speech, a vowel lengthening occurs frequently, and recognition accuracy is greatly affected by this phenomena. In this view point, we propose an acoustical modeling technique that emplicitly incorporates the vowel lengthening in syllable-based HMMs. Experimental results showed that the proposed model could exceed the performance of conventionally used cross-word triphone model and mora-based model in Japanese spontaneous speech recognition task.
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Keyword(in English) spontaneous speech / syllable / mora / vowel lengthning / HMM
Paper # NLC2002-52
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Committee NLC
Conference Date 2002/12/12(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Syllable-Based Acoustical Modeling for Japanese Spontaneous Speech Recognition
Sub Title (in English)
Keyword(1) spontaneous speech
Keyword(2) syllable
Keyword(3) mora
Keyword(4) vowel lengthning
Keyword(5) HMM
1st Author's Name Jun OGATA
1st Author's Affiliation Faculty of Science and Technology, Ryukoku University()
2nd Author's Name Yasuo ARIKI
2nd Author's Affiliation Faculty of Science and Technology, Ryukoku University
Date 2002/12/12
Paper # NLC2002-52
Volume (vol) vol.102
Number (no) 527
Page pp.pp.-
#Pages 6
Date of Issue