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TASLP
2008
102views more  TASLP 2008»
9 years 1 months ago
Acoustic Source Separation of Convolutive Mixtures Based on Intensity Vector Statistics
Various techniques have previously been proposed for the separation of convolutive mixtures. These techniques can be classified as stochastic, adaptive, and deterministic. Stochast...
Banu Gunel, Hüseyin Hacihabiboglu, Ahmet M. K...
ICASSP
2009
IEEE
8 years 11 months ago
Intensity vector direction exploitation for exhaustive blind source separation of convolutive mixtures
This article presents a technique that uses the intensity vector direction exploitation (IVDE) method for exhaustive separation of convolutive mixtures. While only a four-element ...
Banu Gunel, Hüseyin Hacihabiboglu, Ahmet M. K...
ICASSP
2008
IEEE
9 years 8 months ago
Maximum a posteriori ICA: Applying prior knowledge to the separation of acoustic sources
Independent component analysis (ICA) for convolutive mixtures is often applied in the frequency domain due to the desirable decoupling into independent instantaneous mixtures per ...
Graham W. Taylor, Michael L. Seltzer, Alex Acero
ICA
2004
Springer
9 years 7 months ago
Blind Signal Separation of Convolutive Mixtures: A Time-Domain Joint-Diagonalization Approach
We address the blind source separation (BSS) problem for the convolutive mixing case. Second-order statistical methods are employed assuming the source signals are non-stationary a...
Marcel Joho
IJON
2008
124views more  IJON 2008»
9 years 1 months ago
A dynamic algorithm for blind separation of convolutive sound mixtures
We study an efficient dynamic blind source separation algorithm of convolutive sound mixtures based on updating statistical information in the frequency domain, and minimizing the...
Jie Liu, Jack Xin, Yingyong Qi
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