On the development of an automatic voice pleasantness classification and intensity estimation system

Detalhes bibliográficos
Autor(a) principal: Coelho, Luís
Data de Publicação: 2013
Outros Autores: Braga, Daniela, Sales-Dias, Miguel, Garcia-Mateo, Carmen
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/3436
Resumo: In the last few years, the number of systems and devices that use voice based interaction has grown significantly. For a continued use of these systems, the interface must be reliable and pleasant in order to provide an optimal user experience. However there are currently very few studies that try to evaluate how pleasant is a voice from a perceptual point of view when the final application is a speech based interface. In this paper we present an objective definition for voice pleasantness based on the composition of a representative feature subset and a new automatic voice pleasantness classification and intensity estimation system. Our study is based on a database composed by European Portuguese female voices but the methodology can be extended to male voices or to other languages. In the objective performance evaluation the system achieved a 9.1% error rate for voice pleasantness classification and a 15.7% error rate for voice pleasantness intensity estimation.
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spelling On the development of an automatic voice pleasantness classification and intensity estimation systemVoice pleasantnessSubtle emotionsPerceptual speech analysisText-to-Speech synthesisIn the last few years, the number of systems and devices that use voice based interaction has grown significantly. For a continued use of these systems, the interface must be reliable and pleasant in order to provide an optimal user experience. However there are currently very few studies that try to evaluate how pleasant is a voice from a perceptual point of view when the final application is a speech based interface. In this paper we present an objective definition for voice pleasantness based on the composition of a representative feature subset and a new automatic voice pleasantness classification and intensity estimation system. Our study is based on a database composed by European Portuguese female voices but the methodology can be extended to male voices or to other languages. In the objective performance evaluation the system achieved a 9.1% error rate for voice pleasantness classification and a 15.7% error rate for voice pleasantness intensity estimation.Work partially supported by ERDF funds, the Spanish Government (TEC2009-14094-C04-04), and Xunta de Galicia (CN2011/019, 2009/062)ElsevierRepositório Científico do Instituto Politécnico do PortoCoelho, LuísBraga, DanielaSales-Dias, MiguelGarcia-Mateo, Carmen2014-01-22T18:48:16Z20132013-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/3436engPinto-Coelho, L., Braga, D., Sales-Dias, M. & Garcia-Mateo, C. (2013) On the development of an automatic voice pleasantness classification and intensity estimation system. Computer Speech & Language, 27 (1), 75-88. doi: 10.1016/j.csl.2012.01.0060885-230810.1016/j.csl.2012.01.006info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T12:43:13Zoai:recipp.ipp.pt:10400.22/3436Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:24:25.041202Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv On the development of an automatic voice pleasantness classification and intensity estimation system
title On the development of an automatic voice pleasantness classification and intensity estimation system
spellingShingle On the development of an automatic voice pleasantness classification and intensity estimation system
Coelho, Luís
Voice pleasantness
Subtle emotions
Perceptual speech analysis
Text-to-Speech synthesis
title_short On the development of an automatic voice pleasantness classification and intensity estimation system
title_full On the development of an automatic voice pleasantness classification and intensity estimation system
title_fullStr On the development of an automatic voice pleasantness classification and intensity estimation system
title_full_unstemmed On the development of an automatic voice pleasantness classification and intensity estimation system
title_sort On the development of an automatic voice pleasantness classification and intensity estimation system
author Coelho, Luís
author_facet Coelho, Luís
Braga, Daniela
Sales-Dias, Miguel
Garcia-Mateo, Carmen
author_role author
author2 Braga, Daniela
Sales-Dias, Miguel
Garcia-Mateo, Carmen
author2_role author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Coelho, Luís
Braga, Daniela
Sales-Dias, Miguel
Garcia-Mateo, Carmen
dc.subject.por.fl_str_mv Voice pleasantness
Subtle emotions
Perceptual speech analysis
Text-to-Speech synthesis
topic Voice pleasantness
Subtle emotions
Perceptual speech analysis
Text-to-Speech synthesis
description In the last few years, the number of systems and devices that use voice based interaction has grown significantly. For a continued use of these systems, the interface must be reliable and pleasant in order to provide an optimal user experience. However there are currently very few studies that try to evaluate how pleasant is a voice from a perceptual point of view when the final application is a speech based interface. In this paper we present an objective definition for voice pleasantness based on the composition of a representative feature subset and a new automatic voice pleasantness classification and intensity estimation system. Our study is based on a database composed by European Portuguese female voices but the methodology can be extended to male voices or to other languages. In the objective performance evaluation the system achieved a 9.1% error rate for voice pleasantness classification and a 15.7% error rate for voice pleasantness intensity estimation.
publishDate 2013
dc.date.none.fl_str_mv 2013
2013-01-01T00:00:00Z
2014-01-22T18:48:16Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/3436
url http://hdl.handle.net/10400.22/3436
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Pinto-Coelho, L., Braga, D., Sales-Dias, M. & Garcia-Mateo, C. (2013) On the development of an automatic voice pleasantness classification and intensity estimation system. Computer Speech & Language, 27 (1), 75-88. doi: 10.1016/j.csl.2012.01.006
0885-2308
10.1016/j.csl.2012.01.006
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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