Presentation 1998/4/24
A Time-Varying Complex Analysis For Analytic Speech Signal
Keiichi Funaki, Yoshikazu Miyanaga, Koji Tochinai,
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Abstract(in English) LPC analysis methods are commonly used in speech processing. However, LPC methods can not extract non-stationary characteristics from speech signal although speech signal provides time-varying features. On the other hand, complex LPC methods for an analytic speech signal have already been proposed. These methods have some advantages to conventional ones: low computation and higher spectral estimation and so on. This paper presents a new time-varying complex speech analysis method for an analytic signal, in which AR coefficients are represented by complex basis fucntion expansion. The complex AR coefficients are determined so as to minimize least square error criterion. The equation based on the least square error can be efficiently solved by complex LDU decomposition. The estimated spectra with synthetic signal and natural speech signal are shown and the difference among basis functions are compared.
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Keyword(in English) Speech analysis / Analytic signal / Complex signal processing / Time-varying analysis / AR model
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Conference Date 1998/4/24(1days)
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Language JPN
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Title (in English) A Time-Varying Complex Analysis For Analytic Speech Signal
Sub Title (in English)
Keyword(1) Speech analysis
Keyword(2) Analytic signal
Keyword(3) Complex signal processing
Keyword(4) Time-varying analysis
Keyword(5) AR model
1st Author's Name Keiichi Funaki
1st Author's Affiliation Graduate School of Engineering, Hokkaido University()
2nd Author's Name Yoshikazu Miyanaga
2nd Author's Affiliation Graduate School of Engineering, Hokkaido University
3rd Author's Name Koji Tochinai
3rd Author's Affiliation Graduate School of Engineering, Hokkaido University
Date 1998/4/24
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Volume (vol) vol.98
Number (no) 33
Page pp.pp.-
#Pages 8
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