2 citations · 3 across the 3 of their papers we have counts for
3 papers
Efficient Full-Rank Spatial Covariance Estimation Using Independent Low-Rank Matrix Analysis for Blind Source Separation
Yuki Kubo, Norihiro Takamune, Daichi Kitamura +1
In this paper, we propose a new algorithm that efficiently separates a directional source and diffuse background noise based on independent low-rank matrix analysis (ILRMA). ILRMA…
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…
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…