A Modified Clustering Approach for Solving the Permutation Problem in Convolutive Blind Source Separation

Radoslaw Mazur, Jan Ole Jungmann, Alfred Mertins

Abstract

In this paper we propose a modification to a new clusteringapproach for solving the permutation ambiguity in convolu-tive blind source separation. After the transformation to thetime-frequency domain, the problem of separation of convolu-tively mixed sources can be reduced to multiple instantaneousproblems, which may be solved using independent componentanalysis. The drawbacks of this approach are the so calledpermutation and scaling problems, which have to be correctedbefore the transformation to the time domain. Here, we usea new method that allows for aligning up to several hundredsof consecutive bins into clusters and propose a modificationwhich allows for an even more effective clustering. Thedepermutation of these clusters using some known techniquesis then much easier than the original problem.
Original languageEnglish
Number of pages2
Publication statusPublished - 01.05.2014
Event40th Annual German Congress on Acoustics - Oldenburg, Germany
Duration: 10.03.201413.03.2014
http://pub.dega-akustik.de/DAGA_2014/data/index.html

Conference

Conference40th Annual German Congress on Acoustics
Abbreviated titleDAGA 2014
Country/TerritoryGermany
CityOldenburg
Period10.03.1413.03.14
Internet address

Fingerprint

Dive into the research topics of 'A Modified Clustering Approach for Solving the Permutation Problem in Convolutive Blind Source Separation'. Together they form a unique fingerprint.

Cite this