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Approximate Message Passing for Underdetermined Audio Source Separation

Iqbal, Turab and Wang, Wenwu (2018) Approximate Message Passing for Underdetermined Audio Source Separation In: The IET 3rd International Conference on Intelligent Signal Processing, 4-5 Dec 2017, Savoy Place, London, UK.

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Abstract

Approximate message passing (AMP) algorithms have shown great promise in sparse signal reconstruction due to their low computational requirements and fast convergence to an exact solution. Moreover, they provide a probabilistic framework that is often more intuitive than alternatives such as convex optimisation. In this paper, AMP is used for audio source separation from underdetermined instantaneous mixtures. In the time-frequency domain, it is typical to assume a priori that the sources are sparse, so we solve the corresponding sparse linear inverse problem using AMP. We present a block-based approach that uses AMP to process multiple time-frequency points simultaneously. Two algorithms known as AMP and vector AMP (VAMP) are evaluated in particular. Results show that they are promising in terms of artefact suppression.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Iqbal, Turabt.iqbal@surrey.ac.uk
Wang, WenwuW.Wang@surrey.ac.uk
Date : 21 May 2018
Funders : Engineering and Physical Sciences Research Council (EPSRC)
Identification Number : 10.1049/cp.2017.0358
Copyright Disclaimer : © 2017 Institution of Engineering and Technology. This paper is a postprint of a paper submitted to and accepted for publication in 'IET 3rd International Conference on Intelligent Signal Processing (ISP 2017)' and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at the IET Digital Library.
Uncontrolled Keywords : Inverse problems; Approximation theory; Message passing; Audio signal processing; Time-frequency analysis; Probability; Signal reconstruction; Source separation; Speech and audio signal processing; Interpolation and function approximation (numerical analysis); Digital signal processing
Related URLs :
Depositing User : Clive Harris
Date Deposited : 05 Feb 2018 16:47
Last Modified : 01 Jun 2018 11:19
URI: http://epubs.surrey.ac.uk/id/eprint/845745

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