Audio analysis of statistically instantaneous signals with mixed Gaussian probability distributions

Naik, GR; Wang, W

Audio analysis of statistically instantaneous signals with mixed Gaussian probability distributions

Naik, GR

Wang, W

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Publication Type:: Journal Article
Citation:: International Journal of Electronics, 2012, 99 (10), pp. 1333 - 1350
Issue Date:: 2012-10-01

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Field	Value	Language
dc.contributor.author	Naik, GR https://orcid.org/0000-0003-1790-9838	en_US
dc.contributor.author	Wang, W	en_US
dc.date.issued	2012-10-01	en_US
dc.identifier.citation	International Journal of Electronics, 2012, 99 (10), pp. 1333 - 1350	en_US
dc.identifier.issn	0020-7217	en_US
dc.identifier.uri	http://hdl.handle.net/10453/26643
dc.description.abstract	In this article, a novel method is proposed to measure the separation qualities of statistically instantaneous audio signals with mixed Gaussian probability distributions. This study evaluates the impact of the Probability Distribution Function (PDF) of the mixed signals on the outcomes of both sub-and super-Gaussian distributions. Different Gaussian measures are evaluated by using various spectral-distortion measures. It aims to compare the different audio mixtures from both super-Gaussian and sub-Gaussian perspectives. Extensive computer simulation confirms that the separated sources always have super-Gaussian characteristics irrespective of the PDF of the signals or mixtures. The result based on the objective measures demonstrates the effectiveness of source separation in improving the quality of the separated audio sources. © 2012 Copyright Taylor and Francis Group, LLC.	en_US
dc.relation.ispartof	International Journal of Electronics	en_US
dc.relation.isbasedon	10.1080/00207217.2011.582450	en_US
dc.subject.classification	Electrical & Electronic Engineering	en_US
dc.title	Audio analysis of statistically instantaneous signals with mixed Gaussian probability distributions	en_US
dc.type	Journal Article
utslib.citation.volume	10	en_US
utslib.citation.volume	99	en_US
utslib.for	090609 Signal Processing	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.issue	10	en_US
pubs.publication-status	Published	en_US
pubs.volume	99	en_US

Abstract:

In this article, a novel method is proposed to measure the separation qualities of statistically instantaneous audio signals with mixed Gaussian probability distributions. This study evaluates the impact of the Probability Distribution Function (PDF) of the mixed signals on the outcomes of both sub-and super-Gaussian distributions. Different Gaussian measures are evaluated by using various spectral-distortion measures. It aims to compare the different audio mixtures from both super-Gaussian and sub-Gaussian perspectives. Extensive computer simulation confirms that the separated sources always have super-Gaussian characteristics irrespective of the PDF of the signals or mixtures. The result based on the objective measures demonstrates the effectiveness of source separation in improving the quality of the separated audio sources. © 2012 Copyright Taylor and Francis Group, LLC.

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http://hdl.handle.net/10453/26643