Sigmoidal spectral conversion with changeable dynamic region for speech feature extraction

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dc.contributor.authorOh, KCko
dc.contributor.authorLee, Hwang Sooko
dc.date.accessioned2013-03-02T12:29:21Z-
dc.date.available2013-03-02T12:29:21Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1999-01-
dc.identifier.citationELECTRONICS LETTERS, v.35, no.2, pp.125 - 126-
dc.identifier.issn0013-5194-
dc.identifier.urihttp://hdl.handle.net/10203/73522-
dc.description.abstractA noise-resistant feature extraction method for speech recognition in adverse conditions is presented. The proposed method converts the speech spectrum by adjusting the dynamic region of the spectrum based on the level dependent property of auditory nerves. With this method, it is possible to alleviate the problems caused by shrunken spectral dynamic region from heavy background noise.-
dc.languageEnglish-
dc.publisherIEE-INST ELEC ENG-
dc.titleSigmoidal spectral conversion with changeable dynamic region for speech feature extraction-
dc.typeArticle-
dc.identifier.wosid000078627300021-
dc.identifier.scopusid2-s2.0-0032675461-
dc.type.rimsART-
dc.citation.volume35-
dc.citation.issue2-
dc.citation.beginningpage125-
dc.citation.endingpage126-
dc.citation.publicationnameELECTRONICS LETTERS-
dc.contributor.localauthorLee, Hwang Soo-
dc.contributor.nonIdAuthorOh, KC-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
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EE-Journal Papers(저널논문)
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