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dc.contributor.authorHsieh, Cheng-Hsiung
dc.date.accessioned2009-08-23T04:41:36Z
dc.date.accessioned2020-05-25T06:39:44Z-
dc.date.available2009-08-23T04:41:36Z
dc.date.available2020-05-25T06:39:44Z-
dc.date.issued2006-10-23T15:43:35Z
dc.date.submitted2002-12-18
dc.identifier.urihttp://dspace.lib.fcu.edu.tw/handle/2377/2229-
dc.description.abstractIn this paper, a speech enhancement approach based on grey filtering is proposed. In a previous paper [1], it is shown that additive noise can be estimated accurately by grey filtering approach with an appropriate scaling factor. Note that the spectral subtraction approach to speech enhancement is heavily dependent on the accuracy of statistics of additive noise and that the grey filtering is able to estimate additive noise appropriately. A magnitude spectral subtraction (MSS) approach for speech enhancement is proposed where the mechanism to determine the non-speech and speech portions is not required. Simulation results are provided to justify the proposed MSS approach based on grey filtering. It indicates that the objective of speech enhancement has been achieved by the proposed MSS approach.
dc.description.sponsorship東華大學,花蓮縣
dc.format.extent9p.
dc.format.extent152639 bytes
dc.format.mimetypeapplication/pdf
dc.language.isozh_TW
dc.relation.ispartofseries2002 ICS會議
dc.subjectGrey filtering
dc.subjectGM(1,1) model
dc.subjectadditive noise
dc.subjectestimation error
dc.subjectspeech enhancement
dc.subjectspectral subtraction
dc.titleApplication of Grey Filtering to Speech Enhancement
分類:2002年 ICS 國際計算機會議

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