Deficient-basis-complementary rank-constrained spatial covariance matrix estimation based on multivariate generalized Gaussian distribution for blind speech extraction

Rank-constrained spatial covariance matrix estimation (RCSCME) is a blind speech extraction method utilized under the condition that one-directional target speech and diffuse background noise are mixed. In this paper, we propose a new model extension of RCSCME. RCSCME simultaneously conducts both th...

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Veröffentlicht in:	EURASIP journal on advances in signal processing Jg. 2022; H. 1; S. 1 - 24
Hauptverfasser:	Kondo, Yuto, Kubo, Yuki, Takamune, Norihiro, Kitamura, Daichi, Saruwatari, Hiroshi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 22.09.2022 Springer Springer Nature B.V SpringerOpen
Schlagworte:	Algorithms Background noise Blind source separation Blind speech extraction Covariance matrix Diffuse noise Engineering Gaussian processes Mathematical models Matrix methods Normal distribution Parameter estimation Quantum Information Technology Rank-constrained spatial covariance matrix estimation Signal,Image and Speech Processing Spatial covariance matrix Speech recognition Spintronics Diffuse noise Blind source separation Spatial covariance matrix Blind speech extraction Rank-constrained spatial covariance matrix estimation
ISSN:	1687-6180, 1687-6172, 1687-6180
Online-Zugang:	Volltext
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