activity
20172026
most citedConsistent Independent Low-Rank Matrix Analysis for Determined Blind Source Separation

30 citations · 46 across the 22 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.SD2020★ 30 cited

Consistent Independent Low-Rank Matrix Analysis for Determined Blind Source Separation

Daichi Kitamura, Kohei Yatabe

Independent low-rank matrix analysis (ILRMA) is the state-of-the-art algorithm for blind source separation (BSS) in the determined situation (the number of microphones is greater t…

cs.SD2020★ 4 cited

Joint-Diagonalizability-Constrained Multichannel Nonnegative Matrix Factorization Based on Multivariate Complex Sub-Gaussian Distribution

Keigo Kamo, Yuki Kubo, Norihiro Takamune +4

In this paper, we address a statistical model extension of multichannel nonnegative matrix factorization (MNMF) for blind source separation, and we propose a new parameter update a…

eess.AS2020★ 4 cited

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…

cs.SD2020

Convergence-guaranteed Independent Positive Semidefinite Tensor Analysis Based on Student's t Distribution

Tatsuki Kondo, Kanta Fukushige, Norihiro Takamune +4

In this paper, we address a blind source separation (BSS) problem and propose a new extended framework of independent positive semidefinite tensor analysis (IPSDTA). IPSDTA is a st…

cs.SD2020

Regularized Fast Multichannel Nonnegative Matrix Factorization with ILRMA-based Prior Distribution of Joint-Diagonalization Process

Keigo Kamo, Yuki Kubo, Norihiro Takamune +4

In this paper, we address a convolutive blind source separation (BSS) problem and propose a new extended framework of FastMNMF by introducing prior information for joint diagonaliz…