Presentation 2003/11/15
A study of independent component analysis of first-order delay system
Yu KADOTA, Masahiro NAKAGAWA,
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Abstract(in English) In the sound separation, it is in use that blind source separation which estimates separation parameters for the probability distributions and mixing process of signals as unknown characteristics. However, if these characteristics are available, it may be expected that improvement in the separation performance. In this paper, when a mixing process of observation signals may approximate by the first order lag system, it is proposed that a method for estimation of separation parameters, and the fundamental performance is examined. As a result of a simulation to artificial mixed sounds, as compared with the method for estimation the coefficients of z-transform of the separation filter, it was obtained that the result which improves the cross talk oppression performance by about 3 to 25 times.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Source separation / Independent component analysis / Speech / First-order delay system
Paper # NLP2003-121
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Conference Information
Committee NLP
Conference Date 2003/11/15(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A study of independent component analysis of first-order delay system
Sub Title (in English)
Keyword(1) Source separation
Keyword(2) Independent component analysis
Keyword(3) Speech
Keyword(4) First-order delay system
1st Author's Name Yu KADOTA
1st Author's Affiliation Department of Electrical Engineering, Faculty Engineering Nagaoka University of Technology()
2nd Author's Name Masahiro NAKAGAWA
2nd Author's Affiliation Department of Electrical Engineering, Faculty Engineering Nagaoka University of Technology
Date 2003/11/15
Paper # NLP2003-121
Volume (vol) vol.103
Number (no) 464
Page pp.pp.-
#Pages 6
Date of Issue