The harmonic and noise information of the glottal pulses in speech

Detalhes bibliográficos
Autor(a) principal: Ricardo Teixeira Sousa
Data de Publicação: 2014
Outros Autores: Aníbal Ferreira, Alku,P
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://repositorio.inesctec.pt/handle/123456789/4669
http://dx.doi.org/10.1016/j.bspc.2013.12.004
Resumo: This paper presents an algorithm, in the context of speech analysis and pathologic/dysphonic voices evaluation, which splits the signal of the glottal excitation into harmonic and noise components. The algorithm uses a harmonic and noise splitter and a glottal inverse filtering. The combination of these two functionalities leads to an improved estimation of the glottal excitation and its components. The results demonstrate this improvement of estimates of the glottal excitation in comparison to a known inverse filtering method (IAIF). These results comprise performance tests with synthetic voices and application to natural voices that show the waveforms of harmonic and noise components of the glottal excitation. This enhances the glottal information retrieval such as waveform patterns with physiological meaning.
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spelling The harmonic and noise information of the glottal pulses in speechThis paper presents an algorithm, in the context of speech analysis and pathologic/dysphonic voices evaluation, which splits the signal of the glottal excitation into harmonic and noise components. The algorithm uses a harmonic and noise splitter and a glottal inverse filtering. The combination of these two functionalities leads to an improved estimation of the glottal excitation and its components. The results demonstrate this improvement of estimates of the glottal excitation in comparison to a known inverse filtering method (IAIF). These results comprise performance tests with synthetic voices and application to natural voices that show the waveforms of harmonic and noise components of the glottal excitation. This enhances the glottal information retrieval such as waveform patterns with physiological meaning.2017-12-21T14:38:53Z2014-01-01T00:00:00Z2014info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://repositorio.inesctec.pt/handle/123456789/4669http://dx.doi.org/10.1016/j.bspc.2013.12.004engRicardo Teixeira SousaAníbal FerreiraAlku,Pinfo: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:RCAAP2023-05-15T10:20:02Zoai:repositorio.inesctec.pt:123456789/4669Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:52:35.249478Repositório 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 The harmonic and noise information of the glottal pulses in speech
title The harmonic and noise information of the glottal pulses in speech
spellingShingle The harmonic and noise information of the glottal pulses in speech
Ricardo Teixeira Sousa
title_short The harmonic and noise information of the glottal pulses in speech
title_full The harmonic and noise information of the glottal pulses in speech
title_fullStr The harmonic and noise information of the glottal pulses in speech
title_full_unstemmed The harmonic and noise information of the glottal pulses in speech
title_sort The harmonic and noise information of the glottal pulses in speech
author Ricardo Teixeira Sousa
author_facet Ricardo Teixeira Sousa
Aníbal Ferreira
Alku,P
author_role author
author2 Aníbal Ferreira
Alku,P
author2_role author
author
dc.contributor.author.fl_str_mv Ricardo Teixeira Sousa
Aníbal Ferreira
Alku,P
description This paper presents an algorithm, in the context of speech analysis and pathologic/dysphonic voices evaluation, which splits the signal of the glottal excitation into harmonic and noise components. The algorithm uses a harmonic and noise splitter and a glottal inverse filtering. The combination of these two functionalities leads to an improved estimation of the glottal excitation and its components. The results demonstrate this improvement of estimates of the glottal excitation in comparison to a known inverse filtering method (IAIF). These results comprise performance tests with synthetic voices and application to natural voices that show the waveforms of harmonic and noise components of the glottal excitation. This enhances the glottal information retrieval such as waveform patterns with physiological meaning.
publishDate 2014
dc.date.none.fl_str_mv 2014-01-01T00:00:00Z
2014
2017-12-21T14:38:53Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.inesctec.pt/handle/123456789/4669
http://dx.doi.org/10.1016/j.bspc.2013.12.004
url http://repositorio.inesctec.pt/handle/123456789/4669
http://dx.doi.org/10.1016/j.bspc.2013.12.004
dc.language.iso.fl_str_mv eng
language eng
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