21 citations · 81 across the 30 of their papers we have counts for
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eess.AS2018
Independent Low-Rank Matrix Analysis Based on Time-Variant Sub-Gaussian Source Model
Shinichi Mogami, Norihiro Takamune, Daichi Kitamura +5
Independent low-rank matrix analysis (ILRMA) is a fast and stable method for blind audio source separation. Conventional ILRMAs assume time-variant (super-)Gaussian source models,…
eess.AS2018★ 2 cited
Independent Deeply Learned Matrix Analysis for Multichannel Audio Source Separation
Shinichi Mogami, Hayato Sumino, Daichi Kitamura +4
In this paper, we address a multichannel audio source separation task and propose a new efficient method called independent deeply learned matrix analysis (IDLMA). IDLMA estimates…