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dc.contributor.authorShannon, Benen_US
dc.contributor.authorPaliwal, Kuldipen_US
dc.contributor.editorB. Boashashen_US
dc.date.accessioned2017-04-24T10:06:20Z
dc.date.available2017-04-24T10:06:20Z
dc.date.issued2005en_US
dc.date.modified2009-09-21T05:51:37Z
dc.identifier.refurihttp://www.elec.uow.edu.au/isspa2005/en_AU
dc.identifier.doihttp://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1581009en_AU
dc.identifier.urihttp://hdl.handle.net/10072/2576
dc.description.abstractIn this paper, we introduce a noise robust spectral estimation technique for speech signals that is derived from a windowed one-sided higher-lag autocorrelation sequence. We also introduce a new high dynamic range window design method, and utilise both techniques in a modi ed Mel Frequency Cepstral Coef cient (MFCC) algorithm to produce noise robust speech recognition features. We call the new features Autocorrelation Mel Frequency Cepstral Coef cients (AMFCCs). We compare the recognition performance of AMFCCs to MFCCs for a range of stationary and non-stationary noises on the Aurora II database. We show that the AMFCC features perform as well as MFCCs in clean conditions and have higher noise robustness in noisy conditions.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent540619 bytes
dc.format.extent4 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIEEEen_US
dc.publisher.placeWoolongong, NSW, Australiaen_US
dc.publisher.urihttp://ieeexplore.ieee.org/servlet/opac?punumber=10550en_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencenameThe 8th International Symposium on Signal Processing and Its Applicationsen_US
dc.relation.ispartofconferencetitleThe 8th International Symposium on Signal Processing and Its Applications (ISSP-2005)en_US
dc.relation.ispartofdatefrom2005-08-28en_US
dc.relation.ispartofdateto2005-08-31en_US
dc.relation.ispartoflocationSydney, Australiaen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode280206en_US
dc.titleSpectral estimation using higher-lag autocorrelation coefficients with applications to speech recognitionen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.rights.copyrightCopyright 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_AU
gro.date.issued2005
gro.hasfulltextFull Text


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    Contains papers delivered by Griffith authors at national and international conferences.

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