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Adapted Gaussian mixture model in likelihood ratio based forensic voice comparison using long term fundamental frequency

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dc.contributor.authorBuncle Diesner, Carolin
dc.contributor.authorIshihara, Shunichi
dc.contributor.editorCarignan, Christopher
dc.contributor.editorTyler, Michael D.
dc.coverage.spatialParramatta, Australia
dc.date.accessioned2022-09-21T05:13:55Z
dc.date.createdDecember 6-9 2016
dc.date.issued2016
dc.date.updated2021-08-01T08:41:09Z
dc.description.abstractIn this paper, the Gaussian Mixture Model – Universal Background Model (GMM-UBM) is applied to onedimensional speech data, namely the distribution of long term fundamental frequency (LTF0) in likelihood ratio based forensic voice comparison. A series of experiments were conducted using varying numbers of Gaussians, differing adaptation rates to a UBM, and different lengths of speech samples. The results of the GMM-UBM procedure are compared to two previously proposed procedures for LTF0. All three procedures exhibited unique characteristics in their performances. Thus, there was no consistency in performance in that no one procedure constantly outperformed the others. Index Terms: forensic voice comparison, likelihood ratio, GMM-UBM, long-term F0 distributionen_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.isbn2207-1296en_AU
dc.identifier.urihttp://hdl.handle.net/1885/272938
dc.language.isoen_AUen_AU
dc.publisherThe Australasian Speech Science and Technology Association, Inc.en_AU
dc.relation.ispartofseriesSixteenth Australasian International Conference on Speech Science and Technologyen_AU
dc.rights© 2016 ASSTAen_AU
dc.sourceProceedings of the Sixteenth Australasian International Conference on Speech Science and Technologyen_AU
dc.source.urihttps://assta.org/wp-content/uploads/2019/09/SST2016_Proceedings.pdfen_AU
dc.titleAdapted Gaussian mixture model in likelihood ratio based forensic voice comparison using long term fundamental frequencyen_AU
dc.typeConference paperen_AU
dcterms.accessRightsFree Access via Publisher siteen_AU
local.bibliographicCitation.lastpage148en_AU
local.bibliographicCitation.startpage141en_AU
local.contributor.affiliationBuncle Diesner, Carolin, College of Arts and Social Sciences, ANUen_AU
local.contributor.affiliationIshihara, Shunichi, College of Asia and the Pacific, ANUen_AU
local.contributor.authoruidBuncle Diesner, Carolin, u5820042en_AU
local.contributor.authoruidIshihara, Shunichi, u9504440en_AU
local.description.embargo2099-12-31
local.description.notesImported from ARIESen_AU
local.description.refereedYes
local.identifier.absfor470300 - Language studiesen_AU
local.identifier.absfor470410 - Phonetics and speech scienceen_AU
local.identifier.ariespublicationu5583012xPUB6en_AU
local.publisher.urlhttps://assta.orgen_AU
local.type.statusPublished Versionen_AU

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