Adaptive Time-Domain Blind Separation of Speech Signals
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F10%3A00348108" target="_blank" >RIV/67985556:_____/10:00348108 - isvavai.cz</a>
Alternative codes found
RIV/46747885:24220/10:#0001561
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Adaptive Time-Domain Blind Separation of Speech Signals
Original language description
We present an adaptive algorithm for blind audio source separation (BASS) of moving sources via Independent Component Analysis (ICA) in time-domain. The method is shown to achieve good separation quality even with a short demixing filter length (L = 30).Our experiments show that the proposed adaptive algorithm can outperform the off-line version of the method (in terms of the average output SIR), even in the case in which the sources do not move, because it is capable of better adaptation to the nonstationarity of the speech.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Computer Science
ISBN
978-3-642-15994-7
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
Springer-Verlag
Place of publication
Heidelberg
Event location
St. Malo
Event date
Sep 27, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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