Presentation | 1994/5/20 Wavelet Analysis of Speech Signals and its Applications Yoshinori Katayama, Akio Miyazaki, Hiroaki Sakoe, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Applying the wavelet transform to the time-frequency analysis of speech signals,we have expected to be possible to detect new characteristies of speech signals,which the short time fourier transform(STFT)can′t detect.As preparation for application of the wavelet transform to speech recognition systems,we examine in this paper the result of analyzing speech signals by using the wavelet transform with non-orthogonal wavelet functions and the usual STFT with window functions.As the result,two applications which depend on frequency resolution of the wavelet transform are considered. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | wavelet / speech signal processing / speech recognition / multiresolution analysis / STFT |
Paper # | DSP94-12,RCS94-3 |
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Committee | DSP |
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Conference Date | 1994/5/20(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Digital Signal Processing (DSP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Wavelet Analysis of Speech Signals and its Applications |
Sub Title (in English) | |
Keyword(1) | wavelet |
Keyword(2) | speech signal processing |
Keyword(3) | speech recognition |
Keyword(4) | multiresolution analysis |
Keyword(5) | STFT |
1st Author's Name | Yoshinori Katayama |
1st Author's Affiliation | Department of Computer Science and Communication Engineering, Faculty of Engineering,Kyushu University() |
2nd Author's Name | Akio Miyazaki |
2nd Author's Affiliation | Department of Computer Science and Communication Engineering, Faculty of Engineering,Kyushu University |
3rd Author's Name | Hiroaki Sakoe |
3rd Author's Affiliation | Department of Computer Science and Communication Engineering, Faculty of Engineering,Kyushu University |
Date | 1994/5/20 |
Paper # | DSP94-12,RCS94-3 |
Volume (vol) | vol.94 |
Number (no) | 57 |
Page | pp.pp.- |
#Pages | 8 |
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