Semi-Blind Noise Extraction Using Partially Known Position of the Target Source

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/46747885:24220/13:#0002869

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Semi-Blind Noise Extraction Using Partially Known Position of the Target Source

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Semi-Blind Noise Extraction Using Partially Known Position of the Target Source

Popis výsledku anglicky

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

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BI - Akustika a kmity

OECD FORD obor

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Projekt

<a href="/cs/project/GAP103%2F11%2F1947" target="_blank" >GAP103/11/1947: Metody analýzy latentních proměnných ve slepém zpracování řečových a akustických signálů</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IEEE Transactions on Audio Speech and Language Processing

ISSN

1558-7916

e-ISSN

—

Svazek periodika

21

Číslo periodika v rámci svazku

10

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

13

Strana od-do

2029-2041

Kód UT WoS článku

000322334900004

EID výsledku v databázi Scopus

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