DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jang, GJ | ko |
dc.contributor.author | Lee, TW | ko |
dc.contributor.author | Oh, Yung-Hwan | ko |
dc.date.accessioned | 2010-03-22T09:00:31Z | - |
dc.date.available | 2010-03-22T09:00:31Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2003-06 | - |
dc.identifier.citation | IEEE SIGNAL PROCESSING LETTERS, v.10, pp.168 - 171 | - |
dc.identifier.issn | 1070-9908 | - |
dc.identifier.uri | http://hdl.handle.net/10203/17278 | - |
dc.description.abstract | We present a new technique for achieving blind source separation when given only a single-channel recording. The main idea is based on exploiting the inherent time structure of sound sources by learning a priori sets of time-domain basis functions that encode the sources in a statistically efficient manner. We derive a learning algorithm using a maximum likelihood approach given the observed single-channel data and sets of basis functions. For each time point, we infer the source parameters and their contribution factors using a flexible but simple density model. We show separation results of two music signals as well as the separation of two voice signals. | - |
dc.language | English | - |
dc.language.iso | en_US | en |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Single-channel signal separation using time-domain basis functions | - |
dc.type | Article | - |
dc.identifier.wosid | 000182858400004 | - |
dc.identifier.scopusid | 2-s2.0-0038630563 | - |
dc.type.rims | ART | - |
dc.citation.volume | 10 | - |
dc.citation.beginningpage | 168 | - |
dc.citation.endingpage | 171 | - |
dc.citation.publicationname | IEEE SIGNAL PROCESSING LETTERS | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | Oh, Yung-Hwan | - |
dc.contributor.nonIdAuthor | Jang, GJ | - |
dc.contributor.nonIdAuthor | Lee, TW | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | blind signal separation | - |
dc.subject.keywordAuthor | computational auditory scene analysis (CASA) | - |
dc.subject.keywordAuthor | independent component analysis (ICA) | - |
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