EXTRACTION OF INDEPENDENT VECTOR COMPONENT FROM UNDERDETERMINED MIXTURES THROUGH BLOCK-WISE DETERMINED MODELING

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dc.contributor.authorKoldovský, Zbyněk
dc.contributor.authorMálek, Jiří
dc.contributor.authorJanský, Jakub
dc.date.accessioned2019-07-30T06:09:44Z
dc.date.available2019-07-30T06:09:44Z
dc.date.issued2019-05
dc.description.abstractWe propose a new model for blind source extraction where the source of interest is assumed to be static while the background noise is dynamic. The model is determined within short blocks (the same number of sources as that of sensors), however, the noise subspace can be changing from block to block. We propose a gradient-based algorithm that jointly extracts an independent vector component from a set of mixtures obeying the model based on maximum quasi-likelihood principle. Simulations confirm the validity of the approach, and experiments with real-world recordings show promising results.cs
dc.format.extent5 strancs
dc.identifier.doi10.1109/ICASSP.2019.8683431
dc.identifier.urihttps://dspace.tul.cz/handle/15240/153001
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85068972746&origin=SingleRecordEmailAlert&dgcid=raven_sc_search_en_us_email&txGid=666eb45d1c38c0dee41ee10eb4b4be5f
dc.language.isocscs
dc.relation.ispartofICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
dc.subjectBlind Source Extractioncs
dc.subjectUnderdetermined Mixingcs
dc.subjectIndependent Vector Analysiscs
dc.subjectSpeech Enhancementcs
dc.titleEXTRACTION OF INDEPENDENT VECTOR COMPONENT FROM UNDERDETERMINED MIXTURES THROUGH BLOCK-WISE DETERMINED MODELINGcs
local.article.number8683431
local.citation.epage7907
local.citation.spage7903
local.event.edate2019-05-17
local.event.locationBrighton Conference CentreBrighton; United Kingdom
local.event.sdate2019-05-12
local.event.title44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019
local.relation.volumeVolume 2019-May
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