Wavelet leader multifractal analysis of period and amplitude sequences from sustained vowels

Autores
Leonarduzzi, Roberto Fabio; Alzamendi, Gabriel Alejandro; Schlotthauer, Gaston; Torres, Maria Eugenia
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Irregularities in the amplitude and period are characteristic of both normal and pathological sustained vowels; they are a product of perturbations inherent in the phonation process. Their analysis provides useful diagnostic information for several vocal pathologies, and their accurate modelling has been shown to improve the quality of synthesized voice. In this work, we propose the application of multifractal analysis for the characterization of amplitude and period fluctuations in sustained vowels. Using a combination of high order statistics, this signal processing tool generalizes previous approaches and provides a rich description of the fluctuation in the regularity of the data. Our results suggest that both amplitude and period fluctuations show a multifractal behavior, independent of the gender of the speaker. We also analyze the problem of classification between healthy and nonhealthy speakers as an example to show the usefulness of multifractal attributes. We conclude that amplitude and period sequences of sustained vowels should be analyzed and modelled by the multifractal paradigm.
Fil: Leonarduzzi, Roberto Fabio. Universidad Nacional de Entre Ríos. Facultad de Ingeniería. Departamento de Matemática e Informática. Laboratorio de Señales y Dinámicas no Lineales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Alzamendi, Gabriel Alejandro. Universidad Nacional de Entre Ríos. Facultad de Ingeniería. Departamento de Matemática e Informática. Laboratorio de Señales y Dinámicas no Lineales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Schlotthauer, Gaston. Universidad Nacional de Entre Ríos. Facultad de Ingeniería. Departamento de Matemática e Informática. Laboratorio de Señales y Dinámicas no Lineales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Torres, Maria Eugenia. Universidad Nacional de Entre Ríos. Facultad de Ingeniería. Departamento de Matemática e Informática. Laboratorio de Señales y Dinámicas no Lineales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Multifractal Analysis
Wavelet Leaders
Sustained Vowels
Amplitude And Period Sequences
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/41867
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/41867
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Wavelet leader multifractal analysis of period and amplitude sequences from sustained vowelsLeonarduzzi, Roberto FabioAlzamendi, Gabriel AlejandroSchlotthauer, GastonTorres, Maria EugeniaMultifractal AnalysisWavelet LeadersSustained VowelsAmplitude And Period Sequenceshttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Irregularities in the amplitude and period are characteristic of both normal and pathological sustained vowels; they are a product of perturbations inherent in the phonation process. Their analysis provides useful diagnostic information for several vocal pathologies, and their accurate modelling has been shown to improve the quality of synthesized voice. In this work, we propose the application of multifractal analysis for the characterization of amplitude and period fluctuations in sustained vowels. Using a combination of high order statistics, this signal processing tool generalizes previous approaches and provides a rich description of the fluctuation in the regularity of the data. Our results suggest that both amplitude and period fluctuations show a multifractal behavior, independent of the gender of the speaker. We also analyze the problem of classification between healthy and nonhealthy speakers as an example to show the usefulness of multifractal attributes. We conclude that amplitude and period sequences of sustained vowels should be analyzed and modelled by the multifractal paradigm.Fil: Leonarduzzi, Roberto Fabio. Universidad Nacional de Entre Ríos. Facultad de Ingeniería. Departamento de Matemática e Informática. Laboratorio de Señales y Dinámicas no Lineales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Alzamendi, Gabriel Alejandro. Universidad Nacional de Entre Ríos. Facultad de Ingeniería. Departamento de Matemática e Informática. Laboratorio de Señales y Dinámicas no Lineales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Schlotthauer, Gaston. Universidad Nacional de Entre Ríos. Facultad de Ingeniería. Departamento de Matemática e Informática. Laboratorio de Señales y Dinámicas no Lineales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Torres, Maria Eugenia. Universidad Nacional de Entre Ríos. Facultad de Ingeniería. Departamento de Matemática e Informática. Laboratorio de Señales y Dinámicas no Lineales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaElsevier Science2015-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/41867Leonarduzzi, Roberto Fabio; Alzamendi, Gabriel Alejandro; Schlotthauer, Gaston; Torres, Maria Eugenia; Wavelet leader multifractal analysis of period and amplitude sequences from sustained vowels; Elsevier Science; Speech Communication; 72; 9-2015; 1-120167-6393CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.specom.2015.04.004info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0167639315000400info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:47:22Zoai:ri.conicet.gov.ar:11336/41867instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:47:23.112CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Wavelet leader multifractal analysis of period and amplitude sequences from sustained vowels
title Wavelet leader multifractal analysis of period and amplitude sequences from sustained vowels
spellingShingle Wavelet leader multifractal analysis of period and amplitude sequences from sustained vowels
Leonarduzzi, Roberto Fabio
Multifractal Analysis
Wavelet Leaders
Sustained Vowels
Amplitude And Period Sequences
title_short Wavelet leader multifractal analysis of period and amplitude sequences from sustained vowels
title_full Wavelet leader multifractal analysis of period and amplitude sequences from sustained vowels
title_fullStr Wavelet leader multifractal analysis of period and amplitude sequences from sustained vowels
title_full_unstemmed Wavelet leader multifractal analysis of period and amplitude sequences from sustained vowels
title_sort Wavelet leader multifractal analysis of period and amplitude sequences from sustained vowels
dc.creator.none.fl_str_mv Leonarduzzi, Roberto Fabio
Alzamendi, Gabriel Alejandro
Schlotthauer, Gaston
Torres, Maria Eugenia
author Leonarduzzi, Roberto Fabio
author_facet Leonarduzzi, Roberto Fabio
Alzamendi, Gabriel Alejandro
Schlotthauer, Gaston
Torres, Maria Eugenia
author_role author
author2 Alzamendi, Gabriel Alejandro
Schlotthauer, Gaston
Torres, Maria Eugenia
author2_role author
author
author
dc.subject.none.fl_str_mv Multifractal Analysis
Wavelet Leaders
Sustained Vowels
Amplitude And Period Sequences
topic Multifractal Analysis
Wavelet Leaders
Sustained Vowels
Amplitude And Period Sequences
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Irregularities in the amplitude and period are characteristic of both normal and pathological sustained vowels; they are a product of perturbations inherent in the phonation process. Their analysis provides useful diagnostic information for several vocal pathologies, and their accurate modelling has been shown to improve the quality of synthesized voice. In this work, we propose the application of multifractal analysis for the characterization of amplitude and period fluctuations in sustained vowels. Using a combination of high order statistics, this signal processing tool generalizes previous approaches and provides a rich description of the fluctuation in the regularity of the data. Our results suggest that both amplitude and period fluctuations show a multifractal behavior, independent of the gender of the speaker. We also analyze the problem of classification between healthy and nonhealthy speakers as an example to show the usefulness of multifractal attributes. We conclude that amplitude and period sequences of sustained vowels should be analyzed and modelled by the multifractal paradigm.
Fil: Leonarduzzi, Roberto Fabio. Universidad Nacional de Entre Ríos. Facultad de Ingeniería. Departamento de Matemática e Informática. Laboratorio de Señales y Dinámicas no Lineales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Alzamendi, Gabriel Alejandro. Universidad Nacional de Entre Ríos. Facultad de Ingeniería. Departamento de Matemática e Informática. Laboratorio de Señales y Dinámicas no Lineales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Schlotthauer, Gaston. Universidad Nacional de Entre Ríos. Facultad de Ingeniería. Departamento de Matemática e Informática. Laboratorio de Señales y Dinámicas no Lineales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Torres, Maria Eugenia. Universidad Nacional de Entre Ríos. Facultad de Ingeniería. Departamento de Matemática e Informática. Laboratorio de Señales y Dinámicas no Lineales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description Irregularities in the amplitude and period are characteristic of both normal and pathological sustained vowels; they are a product of perturbations inherent in the phonation process. Their analysis provides useful diagnostic information for several vocal pathologies, and their accurate modelling has been shown to improve the quality of synthesized voice. In this work, we propose the application of multifractal analysis for the characterization of amplitude and period fluctuations in sustained vowels. Using a combination of high order statistics, this signal processing tool generalizes previous approaches and provides a rich description of the fluctuation in the regularity of the data. Our results suggest that both amplitude and period fluctuations show a multifractal behavior, independent of the gender of the speaker. We also analyze the problem of classification between healthy and nonhealthy speakers as an example to show the usefulness of multifractal attributes. We conclude that amplitude and period sequences of sustained vowels should be analyzed and modelled by the multifractal paradigm.
publishDate 2015
dc.date.none.fl_str_mv 2015-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/41867
Leonarduzzi, Roberto Fabio; Alzamendi, Gabriel Alejandro; Schlotthauer, Gaston; Torres, Maria Eugenia; Wavelet leader multifractal analysis of period and amplitude sequences from sustained vowels; Elsevier Science; Speech Communication; 72; 9-2015; 1-12
0167-6393
CONICET Digital
CONICET
url http://hdl.handle.net/11336/41867
identifier_str_mv Leonarduzzi, Roberto Fabio; Alzamendi, Gabriel Alejandro; Schlotthauer, Gaston; Torres, Maria Eugenia; Wavelet leader multifractal analysis of period and amplitude sequences from sustained vowels; Elsevier Science; Speech Communication; 72; 9-2015; 1-12
0167-6393
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.specom.2015.04.004
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0167639315000400
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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