Please use this identifier to cite or link to this item: https://doi.org/10.4208/jcm.2009.10-m2900
Title: A time domain blind decorrelation method of convolutive mixtures based on an IIR model
Authors: Liu, J. 
Xin, J.
Qi, Y.
Keywords: Blind Decorrelation
Convolutive Mixtures
IIR Modeling
L1 Constrained Minimization
Issue Date: May-2010
Citation: Liu, J., Xin, J., Qi, Y. (2010-05). A time domain blind decorrelation method of convolutive mixtures based on an IIR model. Journal of Computational Mathematics 28 (3) : 371-385. ScholarBank@NUS Repository. https://doi.org/10.4208/jcm.2009.10-m2900
Abstract: We study a time domain decor relation method of source signal separation from convolutive sound mixtures based on an infinite impulse response (IIR) model. The IIR model uses fewer parameters to capture the physical mixing process and is useful for finding low dimensional separating solutions. We present inversion formulas to decor relate the mixture signals and derive filter equations involving second order time lagged statistics of mixtures. We then formulate an l1 constrained minimization problem and solve it by an iterative method. Numerical experiments on recorded sound mixtures show that our method is capable of sound separation in low dimensional parameter spaces with good perceptual quality and low correlation coefficient comparable to the known informal method. © 2010 by AMSS, Chinese Academy of Sciences.
Source Title: Journal of Computational Mathematics
URI: http://scholarbank.nus.edu.sg/handle/10635/102774
ISSN: 02549409
DOI: 10.4208/jcm.2009.10-m2900
Appears in Collections:Staff Publications

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