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 Japanese) | (See Japanese page) |
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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Conference Information | |
Committee | NLC |
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Conference Date | 2002/12/12(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Natural Language Understanding and Models of Communication (NLC) |
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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 |
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