Automatic speaker recognition as a measurement of voice imitation and conversion

Voices can be deliberately disguised by means of human imitation or voice conversion. The question arises as to what extent they can be modified by using either of both methods. In the current paper, a set of speaker identification experiments are conducted; first, analysing some prosodic features e...

Descripción completa

Detalles Bibliográficos
Autores: Farrús, Mireia, Wagner, Michael, Erro, Daniel, Hernando, Javier
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2010
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/32734
Acceso en línea:http://hdl.handle.net/10230/32734
http://dx.doi.org/10.1558/ijsll.v17i1.119
Access Level:acceso abierto
Palabra clave:Imitation
Voice conversion
Prosody
Jitter
Shimmer
Speaker recognition
id ES_fb010f5a87c2fbcfef24b95f65f2a8c5
oai_identifier_str oai:recercat.cat:10230/32734
network_acronym_str ES
network_name_str España
repository_id_str
spelling Automatic speaker recognition as a measurement of voice imitation and conversionFarrús, MireiaWagner, MichaelErro, DanielHernando, JavierImitationVoice conversionProsodyJitterShimmerSpeaker recognitionVoices can be deliberately disguised by means of human imitation or voice conversion. The question arises as to what extent they can be modified by using either of both methods. In the current paper, a set of speaker identification experiments are conducted; first, analysing some prosodic features extracted from voices of professional impersonators attempting to mimic a target voice and, second, using both intragender and crossgender converted voices in a spectral-based speaker recognition system. The results obtained in the current experiments show that the identification error rate increases when testing with imitated voices, as well as when using converted voices, especially the crossgender ones.Equinox Publishing201720172010info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/32734http://dx.doi.org/10.1558/ijsll.v17i1.119reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésInternational Journal of Speech Language and the Law. 2010;17(1):119-42.© 2010, Equinox Publishing. This is the author's version of the work. The definitive version was published in The International Journal of Speech, Language and the Law http://dx.doi.org/10.1558/ijsll.v17i1.119info:eu-repo/semantics/openAccessoai:recercat.cat:10230/327342026-05-29T05:05:01Z
dc.title.none.fl_str_mv Automatic speaker recognition as a measurement of voice imitation and conversion
title Automatic speaker recognition as a measurement of voice imitation and conversion
spellingShingle Automatic speaker recognition as a measurement of voice imitation and conversion
Farrús, Mireia
Imitation
Voice conversion
Prosody
Jitter
Shimmer
Speaker recognition
title_short Automatic speaker recognition as a measurement of voice imitation and conversion
title_full Automatic speaker recognition as a measurement of voice imitation and conversion
title_fullStr Automatic speaker recognition as a measurement of voice imitation and conversion
title_full_unstemmed Automatic speaker recognition as a measurement of voice imitation and conversion
title_sort Automatic speaker recognition as a measurement of voice imitation and conversion
dc.creator.none.fl_str_mv Farrús, Mireia
Wagner, Michael
Erro, Daniel
Hernando, Javier
author Farrús, Mireia
author_facet Farrús, Mireia
Wagner, Michael
Erro, Daniel
Hernando, Javier
author_role author
author2 Wagner, Michael
Erro, Daniel
Hernando, Javier
author2_role author
author
author
dc.subject.none.fl_str_mv Imitation
Voice conversion
Prosody
Jitter
Shimmer
Speaker recognition
topic Imitation
Voice conversion
Prosody
Jitter
Shimmer
Speaker recognition
description Voices can be deliberately disguised by means of human imitation or voice conversion. The question arises as to what extent they can be modified by using either of both methods. In the current paper, a set of speaker identification experiments are conducted; first, analysing some prosodic features extracted from voices of professional impersonators attempting to mimic a target voice and, second, using both intragender and crossgender converted voices in a spectral-based speaker recognition system. The results obtained in the current experiments show that the identification error rate increases when testing with imitated voices, as well as when using converted voices, especially the crossgender ones.
publishDate 2010
dc.date.none.fl_str_mv 2010
2017
2017
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/10230/32734
http://dx.doi.org/10.1558/ijsll.v17i1.119
url http://hdl.handle.net/10230/32734
http://dx.doi.org/10.1558/ijsll.v17i1.119
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv International Journal of Speech Language and the Law. 2010;17(1):119-42.
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 Equinox Publishing
publisher.none.fl_str_mv Equinox Publishing
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869425289426108416
score 15,81155

Similares en LA Referencia