Acceleration of rank-constrained spatial covariance matrix estimation for blind speech extraction

In this paper, we propose new accelerated update rules for rank-constrained spatial covariance model estimation, which efficiently extracts a directional target source in diffuse background noise. The naive update rule requires heavy computation such as matrix inversion or matrix multiplication. We...

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Bibliographic Details

Published in:	Proceedings ... Asia-Pacific Signal and Information Processing Association Annual Summit and Conference APSIPA ASC ... (Online) pp. 332 - 338
Main Authors:	Kubo, Yuki, Takamune, Norihiro, Kitamura, Daichi, Saruwatari, Hiroshi
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.11.2019
Subjects:	Acceleration Computational complexity Computational modeling Covariance matrices Eigenvalues and eigenfunctions Estimation Time-frequency analysis
ISSN:	2640-0103
Online Access:	Get full text
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