Semi-Blind Noise Extraction Using Partially Known Position of the Target Source
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F13%3A00396861" target="_blank" >RIV/67985556:_____/13:00396861 - isvavai.cz</a>
Alternative codes found
RIV/46747885:24220/13:#0002869
Result on the web
<a href="http://dx.doi.org/10.1109/TASL.2013.2264674" target="_blank" >http://dx.doi.org/10.1109/TASL.2013.2264674</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TASL.2013.2264674" target="_blank" >10.1109/TASL.2013.2264674</a>
Alternative languages
Result language
angličtina
Original language name
Semi-Blind Noise Extraction Using Partially Known Position of the Target Source
Original language description
An extracted noise signal provides important information for subsequent enhancement of a target signal. When the target?s position is fixed, the noise extractor could be a target-cancellation filter derived in a noise-free situation. In this paper we consider a situation when such cancellation filters are prepared for a set of several possible positions of the target in advance. The set of filters is interpreted as prior information available for the noise extraction when the target?s exact position isunknown. Our novel method looks for a linear combination of the prepared filters via Independent Component Analysis. The method yields a filter that has a better cancellation performance than the individual filters or filters based on a minimum varianceprinciple. The method is tested in a highly noisy and reverberant real-world environment with moving target source and interferers. A post-processing by Wiener filter using the noise signal extracted by the method is able to improve signa
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BI - Acoustics and oscillation
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GAP103%2F11%2F1947" target="_blank" >GAP103/11/1947: Methods of Latent Variable Analysis in Blind Speech and Audio Processing</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Transactions on Audio Speech and Language Processing
ISSN
1558-7916
e-ISSN
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Volume of the periodical
21
Issue of the periodical within the volume
10
Country of publishing house
US - UNITED STATES
Number of pages
13
Pages from-to
2029-2041
UT code for WoS article
000322334900004
EID of the result in the Scopus database
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