A time domain blind decorrelation method of convolutive mixtures based on an IIR model

Jie Liu Jack Xin Yingyong Qi

Numerical Analysis and Scientific Computing mathscidoc:1912.43921

Journal of Computational Mathematics, 371-385, 2010.5
We study a time domain decorrelation 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 decorrelate the mixture signals and derive filter equations involving second order time lagged statistics of mixtures. We then formulate an l 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 infomax method.
No keywords uploaded!
[ Download ] [ 2019-12-24 21:06:49 uploaded by Jack_Xin ] [ 506 downloads ] [ 0 comments ]
@inproceedings{jie2010a,
  title={A time domain blind decorrelation method of convolutive mixtures based on an IIR model},
  author={Jie Liu, Jack Xin, and Yingyong Qi},
  url={http://archive.ymsc.tsinghua.edu.cn/pacm_paperurl/20191224210649728323485},
  booktitle={Journal of Computational Mathematics},
  pages={371-385},
  year={2010},
}
Jie Liu, Jack Xin, and Yingyong Qi. A time domain blind decorrelation method of convolutive mixtures based on an IIR model. 2010. In Journal of Computational Mathematics. pp.371-385. http://archive.ymsc.tsinghua.edu.cn/pacm_paperurl/20191224210649728323485.
Please log in for comment!
 
 
Contact us: office-iccm@tsinghua.edu.cn | Copyright Reserved