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An audio-video based IVA algorithm for source separation and evaluation on the AV16.3 corpus

Liang, Y and Chambers, J (2012) An audio-video based IVA algorithm for source separation and evaluation on the AV16.3 corpus In: UNSPECIFIED UNSPECIFIED, pp. 330-337. ISBN 9783642285509

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Abstract

The machine cocktail party problem has been researched for several decades. Although many blind source separation schemes have been proposed to address this problem, few of them are tested by using a real room audio video recording. In this paper, we propose an audio video based independent vector analysis (AVIVA) method, and test it with other independent vector analysis methods by using a real room recording dataset, i.e. the AV16.3 corpus. Moreover, we also use a new method based on pitch difference detection for objective evaluation of the separation performance of the algorithms when applied on the real dataset which confirms advantages of using the visual modality with IVA. © 2012 Springer-Verlag.

Item Type: Book Section
Authors :
NameEmailORCID
Liang, YUNSPECIFIEDUNSPECIFIED
Chambers, Jj.a.chambers@surrey.ac.ukUNSPECIFIED
Date : 27 February 2012
Identification Number : https://doi.org/10.1007/978-3-642-28551-6_41
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:24
Last Modified : 17 May 2017 13:24
URI: http://epubs.surrey.ac.uk/id/eprint/839111

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