Importance of Intelligible Phonemes for Human Speaker Recognition in Different Channel Bandwidths

dc.contributor.authorGallardo, Laura Fernandez
dc.contributor.authorMoller, Sebastian
dc.contributor.authorWagner, Michael
dc.coverage.spatialDresden, Germany
dc.date.accessioned2016-06-14T23:21:17Z
dc.date.createdSeptember 6-10 2015
dc.date.issued2015
dc.date.updated2016-06-14T09:04:01Z
dc.description.abstractIt is known that nasal consonants and vowels are more effective than other phonemes for human speaker recognition. However, the influence of channel transmissions on the speaker discriminative capabilities of phonemes has not yet been examined. Specifically, the speech bandwidth has a strong effect on the human speaker recognition performance and also on the speech intelligibility. The phonemes that permit more accurate human speaker recognition are determined in this study by means of a speaker verification auditory test, focusing on the differences in performance when the stimuli are presented to listeners in narrowband and in wideband. The speech intelligibility is also investigated via an intelligibility test employing the same speech stimuli. Finally, the possible relationship between phonemes offering better human speaker recognition and more intelligible phonemes in the transition to an enhanced bandwidth is discussed
dc.identifier.isbn9781510817906
dc.identifier.urihttp://hdl.handle.net/1885/103823
dc.publisherCurran Associates, Inc.
dc.relation.ispartofseries16th Annual Conference of the International Speech Communication Association INTERSPEECH 2015
dc.rightsAuthor/s retain copyrighten_AU
dc.sourceA Likelihood ratio-based forensic voice comparison in microphone vs. mobile mismatched conditions using Japanese /ai/
dc.titleImportance of Intelligible Phonemes for Human Speaker Recognition in Different Channel Bandwidths
dc.typeConference paper
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.lastpage1051
local.bibliographicCitation.startpage1047
local.contributor.affiliationGallardo, Laura Fernandez, University of Canberra
local.contributor.affiliationMoller, Sebastian, Telekom Innovation Laboratories
local.contributor.affiliationWagner, Michael, College of Engineering and Computer Science, ANU
local.contributor.authoremailu4593164@anu.edu.au
local.contributor.authoruidWagner, Michael, u4593164
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080602 - Computer-Human Interaction
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.absseo970111 - Expanding Knowledge in the Medical and Health Sciences
local.identifier.ariespublicationu4334215xPUB1580
local.identifier.scopusID2-s2.0-84959087759
local.identifier.uidSubmittedByu4334215
local.type.statusPublished Version

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