Subband-based blind signal separation for noisy speech recognition
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Park, HM | ko |
| dc.contributor.author | Jung, HY | ko |
| dc.contributor.author | Lee, TW | ko |
| dc.contributor.author | Lee, Soo-Young | ko |
| dc.date.accessioned | 2013-03-02T22:10:00Z | - |
| dc.date.available | 2013-03-02T22:10:00Z | - |
| dc.date.created | 2012-02-06 | - |
| dc.date.created | 2012-02-06 | - |
| dc.date.issued | 1999-11 | - |
| dc.identifier.citation | ELECTRONICS LETTERS, v.35, no.23, pp.2011 - 2012 | - |
| dc.identifier.issn | 0013-5194 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/75794 | - |
| dc.description.abstract | A method for directly extracting clean speech features from noisy speech is proposed. This process is based on independent component analysis (ICA) and a new feature analysis technique for reducing the computational complexity of the frequency-domain ICA. For noisy speech signals recorded in real environments, this method yielded a considerable performance improvement. | - |
| dc.language | English | - |
| dc.publisher | IEE-INST ELEC ENG | - |
| dc.title | Subband-based blind signal separation for noisy speech recognition | - |
| dc.type | Article | - |
| dc.identifier.wosid | 000084105200021 | - |
| dc.identifier.scopusid | 2-s2.0-0033343361 | - |
| dc.type.rims | ART | - |
| dc.citation.volume | 35 | - |
| dc.citation.issue | 23 | - |
| dc.citation.beginningpage | 2011 | - |
| dc.citation.endingpage | 2012 | - |
| dc.citation.publicationname | ELECTRONICS LETTERS | - |
| dc.contributor.localauthor | Lee, Soo-Young | - |
| dc.contributor.nonIdAuthor | Park, HM | - |
| dc.contributor.nonIdAuthor | Jung, HY | - |
| dc.contributor.nonIdAuthor | Lee, TW | - |
| dc.type.journalArticle | Article | - |
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