Spectral magnitude normalisation and cepstral coefficient transform for noisy-Lombard speech recognition

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dc.contributor.authorChi, SMko
dc.contributor.authorOh, Yung-Hwanko
dc.date.accessioned2010-03-22T08:46:51Z-
dc.date.available2010-03-22T08:46:51Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1996-09-
dc.identifier.citationELECTRONICS LETTERS, v.32, no.19, pp.1761 - 1763-
dc.identifier.issn0013-5194-
dc.identifier.urihttp://hdl.handle.net/10203/17270-
dc.description.abstractThe authors propose a degradation model which represents the spectral changes of speech signals by the Lombard effect and noise contamination in noisy environments. According to this model, spectral magnitude normalisation and cepstral coefficient transforms are used to restore the cepstrum of clean speech from noisy-Lombard speech.-
dc.languageEnglish-
dc.language.isoen_USen
dc.publisherIEE-INST ELEC ENG-
dc.titleSpectral magnitude normalisation and cepstral coefficient transform for noisy-Lombard speech recognition-
dc.typeArticle-
dc.identifier.wosidA1996VJ62800015-
dc.identifier.scopusid2-s2.0-0030246305-
dc.type.rimsART-
dc.citation.volume32-
dc.citation.issue19-
dc.citation.beginningpage1761-
dc.citation.endingpage1763-
dc.citation.publicationnameELECTRONICS LETTERS-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorOh, Yung-Hwan-
dc.contributor.nonIdAuthorChi, SM-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorspeech recognition-
dc.subject.keywordAuthorspectral-domain analysis-
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