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  4. A geometrically constrained independent vector analysis algorithm for online source extraction
 
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2015
Conference Paper
Title

A geometrically constrained independent vector analysis algorithm for online source extraction

Abstract
In this paper, an online constrained independent vector analysis (IVA) algorithm that extracts the desired speech signal given the direction of arrival (DOA) of the desired source and the array geometry is proposed. The far-field array steering vector calculated using the DOA of the desired source is used to add a penalty term to the standard cost function of IVA. The penalty term ensures that the speech signal originating from the given DOA is extracted with small distortion. In contrast to unconstrained IVA, the proposed algorithm can be used to extract the desired speech signal online when the number of interferers is unknown or time varying. The applicability of the algorithm in various scenarios is demonstrated using simulations.
Author(s)
Khan, Affan-Hassan
Taseska, Maja
Audio Labs FAU, Erlangen
Habets, Emanuël A.P.
Mainwork
Latent variable analysis and signal separation. 12th international conference, LVA/ICA 2015  
Conference
International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA) 2015  
DOI
10.1007/978-3-319-22482-4_46
Language
English
Fraunhofer-Institut für Integrierte Schaltungen IIS  
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