Artificial Immune Systems for text-dependent speaker recognition

Detalhes bibliográficos
Autor(a) principal: Faraoun, K. M.
Data de Publicação: 2006
Outros Autores: Boukelif, A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: INFOCOMP: Jornal de Ciência da Computação
Texto Completo: https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/150
Resumo: This paper shows the potential accomplishments of artificial immune systems (in particular, the negative selection algorithm) application to the problem of speaker recognition. Both the use of binary representation of original signal and that of its Fast Fourier Transform in a real-number representation are analysed. A number of experiments are performed on different datasets to examine the performance evolution with respect to the different system parameters. It is found that substantial enhancements of the system capabilities are possible by means of the exploitation of the Fast Fourier Transform.
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spelling Artificial Immune Systems for text-dependent speaker recognitionSpeaker recognitionArtificial immune systemNegative selectionThis paper shows the potential accomplishments of artificial immune systems (in particular, the negative selection algorithm) application to the problem of speaker recognition. Both the use of binary representation of original signal and that of its Fast Fourier Transform in a real-number representation are analysed. A number of experiments are performed on different datasets to examine the performance evolution with respect to the different system parameters. It is found that substantial enhancements of the system capabilities are possible by means of the exploitation of the Fast Fourier Transform.Editora da UFLA2006-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/150INFOCOMP Journal of Computer Science; Vol. 5 No. 4 (2006): December, 2006; 19-261982-33631807-4545reponame:INFOCOMP: Jornal de Ciência da Computaçãoinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/150/135Copyright (c) 2016 INFOCOMP Journal of Computer Scienceinfo:eu-repo/semantics/openAccessFaraoun, K. M.Boukelif, A.2015-06-25T23:16:55Zoai:infocomp.dcc.ufla.br:article/150Revistahttps://infocomp.dcc.ufla.br/index.php/infocompPUBhttps://infocomp.dcc.ufla.br/index.php/infocomp/oaiinfocomp@dcc.ufla.br||apfreire@dcc.ufla.br1982-33631807-4545opendoar:2024-05-21T19:54:20.511778INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv Artificial Immune Systems for text-dependent speaker recognition
title Artificial Immune Systems for text-dependent speaker recognition
spellingShingle Artificial Immune Systems for text-dependent speaker recognition
Faraoun, K. M.
Speaker recognition
Artificial immune system
Negative selection
title_short Artificial Immune Systems for text-dependent speaker recognition
title_full Artificial Immune Systems for text-dependent speaker recognition
title_fullStr Artificial Immune Systems for text-dependent speaker recognition
title_full_unstemmed Artificial Immune Systems for text-dependent speaker recognition
title_sort Artificial Immune Systems for text-dependent speaker recognition
author Faraoun, K. M.
author_facet Faraoun, K. M.
Boukelif, A.
author_role author
author2 Boukelif, A.
author2_role author
dc.contributor.author.fl_str_mv Faraoun, K. M.
Boukelif, A.
dc.subject.por.fl_str_mv Speaker recognition
Artificial immune system
Negative selection
topic Speaker recognition
Artificial immune system
Negative selection
description This paper shows the potential accomplishments of artificial immune systems (in particular, the negative selection algorithm) application to the problem of speaker recognition. Both the use of binary representation of original signal and that of its Fast Fourier Transform in a real-number representation are analysed. A number of experiments are performed on different datasets to examine the performance evolution with respect to the different system parameters. It is found that substantial enhancements of the system capabilities are possible by means of the exploitation of the Fast Fourier Transform.
publishDate 2006
dc.date.none.fl_str_mv 2006-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/150
url https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/150
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/150/135
dc.rights.driver.fl_str_mv Copyright (c) 2016 INFOCOMP Journal of Computer Science
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2016 INFOCOMP Journal of Computer Science
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Editora da UFLA
publisher.none.fl_str_mv Editora da UFLA
dc.source.none.fl_str_mv INFOCOMP Journal of Computer Science; Vol. 5 No. 4 (2006): December, 2006; 19-26
1982-3363
1807-4545
reponame:INFOCOMP: Jornal de Ciência da Computação
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str INFOCOMP: Jornal de Ciência da Computação
collection INFOCOMP: Jornal de Ciência da Computação
repository.name.fl_str_mv INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv infocomp@dcc.ufla.br||apfreire@dcc.ufla.br
_version_ 1799874740401209344

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