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dc.contributor.convenorKenneth Barneren_AU
dc.contributor.authorShannon, Benen_US
dc.contributor.authorPaliwal, Kuldipen_US
dc.contributor.editorKenneth Barneren_US
dc.date.accessioned2017-05-03T13:01:03Z
dc.date.available2017-05-03T13:01:03Z
dc.date.issued2005en_US
dc.date.modified2009-09-21T05:48:20Z
dc.identifier.refurihttp://www.icassp2005.orgen_AU
dc.identifier.doi10.1109/ICASSP.2005.1415171en_AU
dc.identifier.urihttp://hdl.handle.net/10072/2575
dc.description.abstractIt is generally believed that the lower-lag autocorrelation coefficients carry information about the spectral envelop and the higher-lag autocorrelation coefficients are more related to pitch information. In this paper, we use lower-lag and higher-lag ranges of the autocorrelation function separately for deriving speech recognition features, and investigate their role in terms of speech recognition performance. The state-of-the-art MFCC features use the whole autocorrelation function in their computation and are used here as a benchmark in our experiments. Our recognition results from the Aurora II corpus show that the higher-lag autocorrelation coefficients perform as well as the whole autocorrelation function for clean speech, and provide better performance for noisy speech, while lower-lag autocorrelation coefficients are not as effective in this aspect.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent242639 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIEEEen_US
dc.publisher.placePiscataway, N.J., USAen_US
dc.publisher.urihttp://ieeexplore.ieee.org/servlet/opac?punumber=9711en_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencenameIEEE International Conference on Acoustics, Speech, and Signal Processingen_US
dc.relation.ispartofconferencetitleICASSP 2005en_US
dc.relation.ispartofdatefrom2005-03-18en_US
dc.relation.ispartofdateto2005-03-23en_US
dc.relation.ispartoflocationPhiladelphia, USAen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode280206en_US
dc.titleInfluence of autocorrelation lag ranges on robust 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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