Voice disguise in automatic speaker recognition

Humans are able to identify other people’s voices even in voice disguise conditions. However, we are not immune to all voice changes when trying to identify people from voice. Likewise, automatic speaker recognition systems can also be deceived by voice imitation and other types of disguise. Taking...

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Detalles Bibliográficos
Autor: Farrús, Mireia
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2018
País:España
Institución:Universitat Pompeu Fabra
Repositorio:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/35866
Acceso en línea:http://hdl.handle.net/10230/35866
http://dx.doi.org/10.1145/3195832
Access Level:acceso abierto
Palabra clave:Speaker recognition
Voice disguise
Voice imitation
Voice conversion
Channel degradation
Robustness
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spelling Voice disguise in automatic speaker recognitionFarrús, MireiaSpeaker recognitionVoice disguiseVoice imitationVoice conversionChannel degradationRobustnessHumans are able to identify other people’s voices even in voice disguise conditions. However, we are not immune to all voice changes when trying to identify people from voice. Likewise, automatic speaker recognition systems can also be deceived by voice imitation and other types of disguise. Taking into account the voice disguise classification into the combination of two different categories (deliberate/non-deliberate and electronic/non-electronic), this survey provides a literature review on the influence of voice disguise in the automatic speaker recognition task and the robustness of these systems to such voice changes. Additionally, the survey addresses existing applications dealing with voice disguise and analyzes some issues for future research.ACM Association for Computer Machinery201820182018info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/35866http://dx.doi.org/10.1145/3195832reponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésACM Computing Surveys. 2018 Sep 4;51(4):68© ACM, 2018. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Computer Surveys2018 Sep 4;51(4):68. http://doi.acm.org/10.1145/10.1145/3195832info:eu-repo/semantics/openAccessoai:repositori.upf.edu:10230/358662026-06-12T07:21:37Z
dc.title.none.fl_str_mv Voice disguise in automatic speaker recognition
title Voice disguise in automatic speaker recognition
spellingShingle Voice disguise in automatic speaker recognition
Farrús, Mireia
Speaker recognition
Voice disguise
Voice imitation
Voice conversion
Channel degradation
Robustness
title_short Voice disguise in automatic speaker recognition
title_full Voice disguise in automatic speaker recognition
title_fullStr Voice disguise in automatic speaker recognition
title_full_unstemmed Voice disguise in automatic speaker recognition
title_sort Voice disguise in automatic speaker recognition
dc.creator.none.fl_str_mv Farrús, Mireia
author Farrús, Mireia
author_facet Farrús, Mireia
author_role author
dc.subject.none.fl_str_mv Speaker recognition
Voice disguise
Voice imitation
Voice conversion
Channel degradation
Robustness
topic Speaker recognition
Voice disguise
Voice imitation
Voice conversion
Channel degradation
Robustness
description Humans are able to identify other people’s voices even in voice disguise conditions. However, we are not immune to all voice changes when trying to identify people from voice. Likewise, automatic speaker recognition systems can also be deceived by voice imitation and other types of disguise. Taking into account the voice disguise classification into the combination of two different categories (deliberate/non-deliberate and electronic/non-electronic), this survey provides a literature review on the influence of voice disguise in the automatic speaker recognition task and the robustness of these systems to such voice changes. Additionally, the survey addresses existing applications dealing with voice disguise and analyzes some issues for future research.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018
2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/35866
http://dx.doi.org/10.1145/3195832
url http://hdl.handle.net/10230/35866
http://dx.doi.org/10.1145/3195832
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv ACM Computing Surveys. 2018 Sep 4;51(4):68
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv ACM Association for Computer Machinery
publisher.none.fl_str_mv ACM Association for Computer Machinery
dc.source.none.fl_str_mv reponame:Repositorio Digital de la UPF
instname:Universitat Pompeu Fabra
instname_str Universitat Pompeu Fabra
reponame_str Repositorio Digital de la UPF
collection Repositorio Digital de la UPF
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.81155

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