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Speaker recognition under stress conditions

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dc.affiliation.dptoUC3M. Departamento de Teoría de la Señal y Comunicacioneses
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Procesado Multimediaes
dc.contributor.authorRituerto González, Esther
dc.contributor.authorGallardo Antolín, Ascensión
dc.contributor.authorPeláez Moreno, Carmen
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.date.accessioned2019-10-16T10:29:23Z
dc.date.available2019-10-16T10:29:23Z
dc.date.issued2018-11
dc.descriptionProceeding of: IberSPEECH 2018, 21-23 November 2018, Barcelona, Spainen
dc.description.abstractSpeaker recognition systems exhibit a decrease in performance when the input speech is not in optimal circumstances, for example when the user is under emotional or stress conditions. The objective of this paper is measuring the effects of stress on speech to ultimately try to mitigate its consequences on a speaker recognition task. On this paper, we develop a stress-robust speaker identification system using data selection and augmentation by means of the manipulation of the original speech utterances. An extensive experimentation has been carried out for assessing the effectiveness of the proposed techniques. First, we concluded that the best performance is always obtained when naturally stressed samples are included in the training set, and second, when these are not available, their substitution and augmentation with synthetically generated stress-like samples, improves the performance of the system.en
dc.description.sponsorshipThis work is partially supported by the Spanish Government-MinECo projects TEC2014-53390-P and TEC2017-84395-P.en
dc.format.extent5es
dc.identifier.bibliographicCitationProceedings of IberSPEECH 2018, Pp. 15-19en
dc.identifier.doihttps://doi.org/10.21437/IberSPEECH.2018-4
dc.identifier.publicationfirstpage15es
dc.identifier.publicationlastpage19es
dc.identifier.publicationtitleProceedings of IberSPEECH 2018, 21-23 November 2018, Barcelona, Spaines
dc.identifier.urihttps://hdl.handle.net/10016/29035
dc.identifier.uxxiCC/0000028620
dc.language.isoenges
dc.relation.eventdate2018-11-21es
dc.relation.eventplaceBARCELONAes
dc.relation.eventtitleIberSPEECH 2018es
dc.relation.projectIDGobierno de España. TEC2014-53390-Pes
dc.relation.projectIDGobierno de España. TEC2017-84395-Pes
dc.rights.accessRightsopen accesses
dc.subject.ecienciaElectrónicaes
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherSpeaker recognitionen
dc.subject.otherSpeaker identificationen
dc.subject.otherEmotionsen
dc.subject.otherStress conditionsen
dc.subject.otherData augmentationen
dc.subject.otherSynthetic stressen
dc.titleSpeaker recognition under stress conditionsen
dc.typeconference paper*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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