A two channel, block-adaptive audio separation technique based upon time-frequency information

Smith, D; Lukasiak, J; Burnett, IS

A two channel, block-adaptive audio separation technique based upon time-frequency information

Smith, D Lukasiak, J Burnett, IS

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Publication Type:: Conference Proceeding
Citation:: European Signal Processing Conference, 2015, 06-10-September-2004 pp. 393 - 396
Issue Date:: 2015-04-03

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Field	Value	Language
dc.contributor.author	Smith, D	en_US
dc.contributor.author	Lukasiak, J	en_US
dc.contributor.author	Burnett, IS https://orcid.org/0000-0003-3795-7722	en_US
dc.date.issued	2015-04-03	en_US
dc.identifier.citation	European Signal Processing Conference, 2015, 06-10-September-2004 pp. 393 - 396	en_US
dc.identifier.isbn	9783200001657	en_US
dc.identifier.issn	2219-5491	en_US
dc.identifier.uri	http://hdl.handle.net/10453/121189
dc.description.abstract	© 2004 EUSIPCO. TIFROM [1, 2] is a two channel separation technique, which is well suited to separating audio signals, and in particular, dependent signals that fall outside the scope of conventional BSS applications [1]. One problem with TIFROM however, is degraded performance due to inconsistent estimation of the mixing system. To reduce these inconsistencies, we present a modified algorithm that incorporates k-means clustering [3] and normalised variance, improving upon TIFROM estimation results significantly. To improve TIFROM data efficiency we also include a weighting (running average) function for mixing column estimates. This transforms our modified algorithm into a block based adaptive algorithm with the ability to track a slowly time-varying mixture.	en_US
dc.relation.ispartof	European Signal Processing Conference	en_US
dc.title	A two channel, block-adaptive audio separation technique based upon time-frequency information	en_US
dc.type	Conference Proceeding
utslib.citation.volume	06-10-September-2004	en_US
utslib.for	0913 Mechanical Engineering	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.publication-status	Published	en_US
pubs.volume	06-10-September-2004	en_US

Abstract:

© 2004 EUSIPCO. TIFROM [1, 2] is a two channel separation technique, which is well suited to separating audio signals, and in particular, dependent signals that fall outside the scope of conventional BSS applications [1]. One problem with TIFROM however, is degraded performance due to inconsistent estimation of the mixing system. To reduce these inconsistencies, we present a modified algorithm that incorporates k-means clustering [3] and normalised variance, improving upon TIFROM estimation results significantly. To improve TIFROM data efficiency we also include a weighting (running average) function for mixing column estimates. This transforms our modified algorithm into a block based adaptive algorithm with the ability to track a slowly time-varying mixture.

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http://hdl.handle.net/10453/121189