Presentation 2002/12/12
Speech Analysis with Wavelet Transform : Its Application to Consonantal Feature Analysis in Chinese Mandarin
Nobuyuki Kawagashira,
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Abstract(in English) In this study, I applied wavelet transform to speech analysis and showed its effectiveness to speech analysis. Wavelet transforms can detect frequency and positional information at the same time thou Fourier Transforms cannot. Wavelet transforms are useful for detecting linguistic sound features which have their rapid spectral change in time. Wavelet transforms are applied to consonantal feature analysis of Chinese Mandarin aspirated/unaspirated labials [pa,p^ha]. I will try to show that wavelet transforms are more useful than Fourier-based spectrograph for speech analysis.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) wavelet transform / Chinese Mandarin / consonant / aspirated / unaspirated / labial / Fourier
Paper # NLC2002-59
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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 ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Speech Analysis with Wavelet Transform : Its Application to Consonantal Feature Analysis in Chinese Mandarin
Sub Title (in English)
Keyword(1) wavelet transform
Keyword(2) Chinese Mandarin
Keyword(3) consonant
Keyword(4) aspirated
Keyword(5) unaspirated
Keyword(6) labial
Keyword(7) Fourier
1st Author's Name Nobuyuki Kawagashira
1st Author's Affiliation National Institute of Agrobiological Sciences()
Date 2002/12/12
Paper # NLC2002-59
Volume (vol) vol.102
Number (no) 527
Page pp.pp.-
#Pages 5
Date of Issue