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dc.contributor.authorSo, Stephenen_US
dc.contributor.authorPaliwal, Kuldipen_US
dc.contributor.editorAlex B. Gershmanen_US
dc.date.accessioned2017-05-03T13:01:24Z
dc.date.available2017-05-03T13:01:24Z
dc.date.issued2006en_US
dc.date.modified2009-09-21T05:50:49Z
dc.identifier.issn10709908en_US
dc.identifier.doi10.1109/LSP.2006.874444en_AU
dc.identifier.urihttp://hdl.handle.net/10072/12327
dc.description.abstractIn this letter, we determine empirical lower bounds on the bitrate required to transparently code linear predictive coding (LPC) parameters derived from wideband speech. This is achieved via extrapolation of the operating distortion-rate curve of an unconstrained vector quantizer that is trained using artificial vectors generated by a Gaussian mixture model. Memoryless coding is considered and two competing LPC parameter representations are investigated. Our results show a lower bound of 31 bits/frame when assuming high-rate linearity in the operating distortion-rate curve and 35 bits/frame for an exponential curve.We also evaluate a recent quantization scheme and compare its performance against this lower bound.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent166291 bytes
dc.format.extent16905 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIEEEen_US
dc.publisher.placePiscataway, NJ, USAen_US
dc.publisher.urihttp://www.signalprocessingsociety.org/en_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofpagefrom569en_US
dc.relation.ispartofpageto572en_US
dc.relation.ispartofissue9en_US
dc.relation.ispartofjournalIEEE Signal Processing Lettersen_US
dc.relation.ispartofvolume13en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode280204en_US
dc.titleEmpirical Lower Bound on the Bitrate for the Transparent Memoryless Coding of Wideband LPC Parametersen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.rights.copyrightCopyright 2006 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.issued2006
gro.hasfulltextFull Text


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