Approximate Message Passing for Underdetermined Audio Source Separation
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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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Approximate Message Passing for Underdetermined Audio Source Separation.pdf - Accepted version Manuscript Available under License Creative Commons Attribution. Download (366kB) | Preview |
Official URL: https://doi.org/10.1049/cp.2017.0358
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) | |||||||||
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| Divisions : | Faculty of Engineering and Physical Sciences > Electronic Engineering | |||||||||
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| Date : | 21 May 2018 | |||||||||
| Funders : | Engineering and Physical Sciences Research Council (EPSRC) | |||||||||
| DOI : | 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 | |||||||||
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| Depositing User : | Clive Harris | |||||||||
| Date Deposited : | 05 Feb 2018 16:47 | |||||||||
| Last Modified : | 11 Dec 2018 11:23 | |||||||||
| URI: | http://epubs.surrey.ac.uk/id/eprint/845745 |
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