most citedIndependent Low-Rank Matrix Analysis Based on Complex Student's -Distribution for Blind Audio Source Separation

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cs.SD2017★ 1 cited

Independent Low-Rank Matrix Analysis Based on Parametric Majorization-Equalization Algorithm

Yoshiki Mitsui, Daichi Kitamura, Norihiro Takamune +3

In this paper, we propose a new optimization method for independent low-rank matrix analysis (ILRMA) based on a parametric majorization-equalization algorithm. ILRMA is an efficien…

cs.SD2017★ 2 cited

Independent Low-Rank Matrix Analysis Based on Complex Student's -Distribution for Blind Audio Source Separation

Shinichi Mogami, Daichi Kitamura, Yoshiki Mitsui +3

In this paper, we generalize a source generative model in a state-of-the-art blind source separation (BSS), independent low-rank matrix analysis (ILRMA). ILRMA is a unified method…