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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Vydáno v:	EURASIP journal on advances in signal processing Ročník 2022; číslo 1; s. 1 - 24
Hlavní autoři:	Kondo, Yuto, Kubo, Yuki, Takamune, Norihiro, Kitamura, Daichi, Saruwatari, Hiroshi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cham Springer International Publishing 22.09.2022 Springer Springer Nature B.V SpringerOpen
Témata:	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
On-line přístup:	Získat plný text
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