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dc.contributor.authorStark, Anthonyen_US
dc.contributor.authorPaliwal, Kuldipen_US
dc.date.accessioned2017-04-24T09:26:43Z
dc.date.available2017-04-24T09:26:43Z
dc.date.issued2011en_US
dc.date.modified2012-04-10T23:50:26Z
dc.identifier.issn01676393en_US
dc.identifier.doi10.1016/j.specom.2010.11.004en_US
dc.identifier.urihttp://hdl.handle.net/10072/44400
dc.description.abstractIn this paper, we derive a minimum mean square error log-filterbank energy estimator for environment-robust automatic speech recognition. While several such estimators exist within the literature, most involve trade-offs between simplifications of the log-filterbank noise distortion model and analytical tractability. To avoid this limitation, we extend a well known spectral domain noise distortion model for use in the log-filterbank energy domain. To do this, several mathematical transformations are developed to transform spectral domain models into filterbank and log-filterbank energy models. As a result, a new estimator is developed that allows for robust estimation of both log-filterbank energies and subsequent Mel-frequency cepstral coefficients. The proposed estimator is evaluated over the Aurora2, and RM speech recognition tasks, with results showing a significant reduction in word recognition error over both baseline results and several competing estimators.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.languageEnglishen_US
dc.publisherElsevier BV * North-Hollanden_US
dc.publisher.placeNetherlandsen_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofpagefrom403en_US
dc.relation.ispartofpageto416en_US
dc.relation.ispartofissue3en_US
dc.relation.ispartofjournalSpeech Communicationen_US
dc.relation.ispartofvolume53en_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchArtificial Intelligence and Image Processing not elsewhere classifieden_US
dc.subject.fieldofresearchcode080199en_US
dc.titleMMSE estimation of log-filter bank energies for robust speech recognitionen_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.date.issued2011
gro.hasfulltextNo Full Text


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