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Yuki Kubo

3 accepted papers

2021

Deficient Basis Estimation of Noise Spatial Covariance Matrix for Rank-Constrained Spatial Covariance Matrix Estimation Method in Blind Speech Extraction

ICASSP 2021accepted

Rank-constrained spatial covariance matrix estimation (RCSCME) is a state-of-the-art blind speech extraction method applied to cases where one directional target speech and diffuse noise are mixed. In this paper, we proposed a new algorithmic extension of RCSCME. RCSCME complements a deficient one r…

Cited by 0SourceScholar
2020

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

ICASSP 2020accepted

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 diagonalization of the spatial covariance matrix model. Recently, FastMNMF has been proposed as a fast version of multichannel non…

Cited by 0SourceScholar
2019

Mask-based MVDR Beamformer for Noisy Multisource Environments: Introduction of Time-varying Spatial Covariance Model

ICASSP 2019accepted

This paper proposes a method for designing a time-varying minimum variance distortionless response (MVDR) beamformer using time-frequency masks, with the aim of improving speech enhancement in noisy multi-speaker environments. A key to successful beamforming is to estimate accurately a time-varying…

Cited by 0SourceScholar