Show simple item record

dc.contributor.authorGomez, Angelen_US
dc.contributor.authorSchwerin, Belindaen_US
dc.contributor.authorPaliwal, Kuldipen_US
dc.contributor.editorPiero Cosi, Renato De Mori, Roberto Pieraccini, Giuseppe Di Fabbrizioen_US
dc.date.accessioned2017-05-03T13:13:00Z
dc.date.available2017-05-03T13:13:00Z
dc.date.issued2011en_US
dc.date.modified2013-05-16T04:37:30Z
dc.identifier.refurihttp://www.interspeech2011.org/conference/welcomemessage.htmlen_US
dc.identifier.urihttp://hdl.handle.net/10072/46191
dc.description.abstractA number of techniques based on correlation measurements have recently been proposed to provide an objective measure of intelligibility. These techniques are able to detect nonlinear distortions and provide intelligibility scores highly correlated with those given by human listeners. However, the performance of these techniques has not been found satisfactory for measuring the speech intelligibility of speech enhancement algorithms. In this paper we first investigate the different correlation-based methods, in the context of speech enhancement. We then propose to combine these correlation-based techniques with spectral distance based ones. Results presented show that objective intelligibility prediction is significantly improved by this combination.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.format.extent204351 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_US
dc.publisherINTERSPEECHen_US
dc.publisher.placeItalyen_US
dc.publisher.urihttp://www.interspeech2011.org/conference/welcomemessage.htmlen_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofconferencenameINTERSPEECH 2011en_US
dc.relation.ispartofconferencetitle12thAnnual Conference of the International Speech Communication Associationen_US
dc.relation.ispartofdatefrom2011-08-27en_US
dc.relation.ispartofdateto2011-08-31en_US
dc.relation.ispartoflocationFlorence, Italyen_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchArtificial Intelligence and Image Processing not elsewhere classifieden_US
dc.subject.fieldofresearchcode080199en_US
dc.titleObjective Intelligibility Prediction of Speech by Combining Correlation and Distortion based Techniquesen_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 2011 ISCA and the Authors. The attached file is reproduced here in accordance with the copyright policy of the publisher. For information about this conference please refer to the conference’s website or contact the authors.en_US
gro.date.issued2011
gro.hasfulltextFull Text


Files in this item

This item appears in the following Collection(s)

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

Show simple item record