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How vulnerable are prosodic features to professional imitators?

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dc.contributor.author Farrús, Mireia
dc.contributor.author Wagner, Michael
dc.contributor.author Anguita, Jan
dc.contributor.author Hernando, Javier
dc.date.accessioned 2017-03-16T17:52:15Z
dc.date.available 2017-03-16T17:52:15Z
dc.date.issued 2008
dc.identifier.citation Farrús M, Wagner M, Anguita J, Hernando J. How vulnerable are prosodic features to professional imitators? In: Odyssey 2008: The Speaker and Language Recognition Workshop; 2008 Jan. 21-24; Stellenbosch (South Africa). [place unknown]: ISCA; 2008. Paper 002 [4 p.].
dc.identifier.uri http://hdl.handle.net/10230/28249
dc.description Comunicació presentada a: Odyssey 2008: The Speaker and Language Recognition Workshop; Stellenbosch (South Africa) del 21-24 gener de 2008.
dc.description.abstract Voice imitation is one of the potential threats to security systems that use automatic speaker recognition. Since prosodic features have been considered for state-of-the-art recognition systems in recent years, the question arises as to how vulnerable these features are to voice mimicking. In this study, two experiments are conducted for twelve individual features in order to determine how a prosodic speaker identification system would perform against professionally imitated voices. By analysing prosodic parameters, the results show that the identification error rate increases for most of the features, except for the range of the fundamental frequency, which seems to be relatively robust against voice mimicking. When all twelve features are fused, the identification error rate increases from 5% between the target voices and the imitators’ natural voices to 22% between the target voices and the imitators’ impersonations.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher International Speech Communication Association (ISCA)
dc.relation.ispartof Odyssey 2008: The Speaker and Language Recognition Workshop; 2008 Jan. 21-24; Stellenbosch (South Africa). [place unknown]: ISCA; 2008. Paper 002 [4 p.].
dc.rights © ISCA.
dc.subject.other Anàlisi prosòdica (Lingüística)
dc.subject.other Lingüística computacional
dc.subject.other Reconeixement automàtic de la parla
dc.subject.other Tractament automàtic de la parla
dc.title How vulnerable are prosodic features to professional imitators?
dc.type info:eu-repo/semantics/conferenceObject
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion


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