Supervised Independent Vector Analysis Through Pilot Dependent Components

Simple item page
dc.contributor.authorNesta, Francescocs
dc.contributor.authorKoldovský, Zbyněkcs
dc.date.accessioned2018-09-25T12:13:16Z
dc.date.available2018-09-25T12:13:16Z
dc.date.issued2017-01-01cs
dc.description.abstractUnknown global permutation of the separated sources, timevarying source activity and under determination are common problems affecting on-line Independent Vector Analysis when applied to real-world speech enhancement. In this work we propose to extend the signal model of IVA by introducing additional supervising components. Pilot signals, wh ich are dependent on the sources, are injected in the multidimensional source representation and act as a prior knowledge. The resulting adaptation still maximizes the multivariate source independence, while simultaneously forcing the estimation of sources dependent on the pilot components. It is also shown as the S-IVA is a generalization over the previously proposed weighted Natural Gradient. Numerical evaluations shows the effectiveness of the proposed method in challenging real-world applications.en
dc.format.extent5cs
dc.identifier.doi10.1109/ICASSP.2017.7952213
dc.identifier.isbn978-1-5090-4117-6cs
dc.identifier.issn15206149cs
dc.identifier.urihttps://dspace.tul.cz/handle/15240/31076
dc.identifier.urihttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952213
dc.language.isoengcs
dc.publisher.cityNew Orleans, USAcs
dc.relation.ispartofseries1cs
dc.relation.urihttps://asap.ite.tul.cz/wp-content/uploads/sites/3/2017/03/icassp2017.pdfcs
dc.subjectIndependent vector analysiscs
dc.subjectsource separationcs
dc.subjectindependent component analysiscs
dc.subjectspeech enhancementcs
dc.titleSupervised Independent Vector Analysis Through Pilot Dependent Componentscs
local.citation.epage536-540cs
local.citation.spage536-540cs
local.identifier.publikace4532
local.identifier.wok414286200108en
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
SUPERVISED INDEPENDENT.pdf
Size:
3.67 MB
Format:
Adobe Portable Document Format
Description:
článek
Download
Collections