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dc.contributor.author Farrús, Mireia
dc.contributor.author Hernando, Javier
dc.date.accessioned 2017-09-04T14:18:39Z
dc.date.available 2017-09-04T14:18:39Z
dc.date.issued 2009
dc.identifier.citation Farrús M, Hernando J. Using jitter and shimmer in speaker verification. IET Signal Process. 2009;3(4):247-57. DOI: 10.1049/iet-spr.2008.0147
dc.identifier.issn 1751-9675
dc.identifier.uri http://hdl.handle.net/10230/32737
dc.description.abstract Jitter and shimmer are measures of the fundamental frequency and amplitude cycle-to-cycle variations, respectively. Both features have been largely used for the description of pathological voices, and since they characterise some aspects concerning particular voices, they are expected to have a certain degree of speaker specificity. In the current work, jitter and shimmer are successfully used in a speaker verification experiment. Moreover, both measures are combined with spectral and prosodic features using several types of normalisation and fusion techniques in order to obtain better verification results. The overall speaker verification system is also improved by using histogram equalisation as a normalisation technique previous to fusing the features by SVM.
dc.description.sponsorship This work has been supported by the Spanish Government under Grant AP2003-3598. The authors would like to thank Pascual Ejarque and Andrey Temko for his help in the fusion techniques used in this work.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Institution of Engineering and Technology (IET)
dc.relation.ispartof IET Signal Process. 2009;3(4):247-57.
dc.rights © The Institution of Engineering and Technology
dc.title Using jitter and shimmer in speaker verification
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1049/iet-spr.2008.0147
dc.subject.keyword Support vector machines
dc.subject.keyword Jitter
dc.subject.keyword Speaker recognition
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion

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