A Time Domain Blind Decorrelation Method of Convolutive Mixtures Based on an IIR Model

Abstract

We study a time domain decorrelation method of source signal separation from convolutive sound mixtures based on an inflnite impulse response (IIR) model. The IIR model uses fewer parameters to capture the physical mixing process and is useful for flnding low dimensional separating solutions. We present inversion formulas to decorrelate the mixture signals and derive fllter 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 coe‐cient comparable to the known infomax method.