MULTI-CHANNEL SPEECH ENHANCEMENT BASED ON INDEPENDENT VECTOR EXTRACTION

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Date
2018
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IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Abstract
In this paper, a gradient-based algorithm for Independent Vector Extraction is introduced and is first used for blind audio source extraction. We also propose novel modifications of the gradient learning rule in the algorithm based on preconditioning of input data and by using the AdaGrad update. Experiments with six-channel CHiME-4 recordings are conducted where the modified algorithms show significant improvement in terms of convergence speed.
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Subject(s)
Blind Audio Source Separation, Speech Enhancement, Independent Component Analysis, Independent Vector Analysis, Independent Vector Extraction
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