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Speech enhancement using wavelet packet transformation and linear regression in non-stationary noise environment

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dc.contributor.authorJung,Sung-il-
dc.contributor.authorKwon,Younghun-
dc.contributor.authorYANG, SUNG IL-
dc.date.accessioned2021-06-23T23:05:59Z-
dc.date.available2021-06-23T23:05:59Z-
dc.date.issued2005-07-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/45833-
dc.description.abstractWe suggest a new speech estimation method which can be useded in various noise environments. The new method uses an adaptive wavelet packet transformation and a linear regression in order to estimate parameters for speech estimation. In objective assessments, we observed that the performance of the proposed method was better than that of the compared methods.-
dc.format.extent2-
dc.language영어-
dc.language.isoENG-
dc.publisher대한전자공학회-
dc.titleSpeech enhancement using wavelet packet transformation and linear regression in non-stationary noise environment-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.bibliographicCitationInternational Technical Conference on Circuits Systems, Computers and Communications(ITC-CSCC 2005), pp 861 - 862-
dc.citation.titleInternational Technical Conference on Circuits Systems, Computers and Communications(ITC-CSCC 2005)-
dc.citation.startPage861-
dc.citation.endPage862-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE01734875-
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