30 citations · 46 across the 22 of their papers we have counts for
3 papers · 1 filter
Determined BSS based on time-frequency masking and its application to harmonic vector analysis
Kohei Yatabe, Daichi Kitamura
This paper proposes harmonic vector analysis (HVA) based on a general algorithmic framework of audio blind source separation (BSS) that is also presented in this paper. BSS for a c…
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,…
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…