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 support of time domain demixing filters by a weighted least square method. The permutation and scaling indeterminacies of separation, and concatenations of signals in adjacent time frames are resolved with optimization of l1

• Type: Journal
• Year: 2008
• Where: IJON
• Authors: Jie Liu, Jack Xin, Yingyong Qi
• Keywords: Adjacent Time Frames, IJON 2008, L1 Norm, Source Separation Algorithm