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- W2899684468 abstract "This paper introduces a recursive variant of the recently proposed independent vector extraction algorithm suitable for on-line blind source separation. Two partially supervised variants are proposed and tested. Both variants exploit known direction of arrival (DOA) of the source of interest (SOI). The first variant uses a pre-separated output of a DOA-steered MPDR beamformer as a pilot component to ensure the extraction of the SOI In the second variant, a geometrical constraint is imposed to ensure that the separating vector does not stray too far from the assumed direction of the SOI Experiments using simulated and real-world recordings are demonstrated. Both supervised variants show improvements compared to the unsupervised algorithm in terms of convergence stability and separation accuracy." @default.
- W2899684468 created "2018-11-16" @default.
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- W2899684468 date "2018-09-01" @default.
- W2899684468 modified "2023-10-17" @default.
- W2899684468 title "Recursive and Partially Supervised Algorithms for Speech Enhancement on the Basis of Independent Vector Extraction" @default.
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- W2899684468 doi "https://doi.org/10.1109/iwaenc.2018.8521399" @default.
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