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.
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Khan, A.H., Taseska, M., Habets, E.A.P. (2015). A Geometrically Constrained Independent Vector Analysis Algorithm for Online Source Extraction. In: Vincent, E., Yeredor, A., Koldovský, Z., Tichavský, P. (eds) Latent Variable Analysis and Signal Separation. LVA/ICA 2015. Lecture Notes in Computer Science(), vol 9237. Springer, Cham. https://doi.org/10.1007/978-3-319-22482-4_46
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DOI: https://doi.org/10.1007/978-3-319-22482-4_46
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