BLIND SOURCE SEPARATION USING INCOMPLETE DE-MIXING TRANSFORM WITH A PRECISE APPROACH FOR SELECTING CONSTRAINED SETS OF FREQUENCIES

Simple item page
dc.contributor.authorJanský, Jakub
dc.contributor.authorKoldovský, Zbyněk
dc.date.accessioned2019-10-07T06:23:59Z
dc.date.available2019-10-07T06:23:59Z
dc.date.issued2018
dc.description.abstractThis paper presents a modification of the Natural Gradient algorithm for Independent Vector Analysis estimating incomplete de-mixing transform and performing its completion. Incomplete de-mixing transform is obtained when it is estimated only on subsets of most active frequencies of the sources. The transform is then completed using methods for sparse reconstruction. In previous works, the incomplete subset of frequencies was the same for all separated signals. In this paper, we propose a new approach in which the subsets are source-dependent. Experiments conducted on the CHiME-4 dataset show that the proposed approach improves the separation performance.cs
dc.format.extent5 strancs
dc.identifier.urihttps://dspace.tul.cz/handle/15240/153843
dc.identifier.urihttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8521395
dc.language.isocscs
dc.publisherIEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
dc.relation.ispartof2018 16TH INTERNATIONAL WORKSHOP ON ACOUSTIC SIGNAL ENHANCEMENT (IWAENC)
dc.relation.ispartofseriesInternational Workshop on Acoustic Signal Enhancement
dc.subjectBlind Source Separationcs
dc.subjectIndependent Vector Analysiscs
dc.subjectNatural Gradientcs
dc.subjectSparse Representationscs
dc.subjectIncomplete De-Mixing Transformcs
dc.titleBLIND SOURCE SEPARATION USING INCOMPLETE DE-MIXING TRANSFORM WITH A PRECISE APPROACH FOR SELECTING CONSTRAINED SETS OF FREQUENCIEScs
dc.typeProceedings Paper
local.citation.epage240
local.citation.spage236
local.event.edate2018-09-20
local.event.locationTokyo, JAPAN
local.event.sdate2018-09-17
local.event.title16th International Workshop on Acoustic Signal Enhancement (IWAENC)
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
BLIND SOURCE SEPARATION USING INCOMPLETE DE-MIXING TRANSFORM WITH A PRECISE APPROACH FOR SELECTING CONSTRAINED SETS OF FREQUENCIES.pdf
Size:
956.5 KB
Format:
Adobe Portable Document Format
Description:
článek
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections