Robust Estimation of Jitter in Pathological Voices

Autores
Agüero, Pablo Daniel; Tulli, Juan Carlos; González, Esteban Lucio; Uriz, Alejandro; Garin, Juan; Aranda, Gonzalo
Año de publicación
2010
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Acoustical analysis of speech using computers has reached an important development in the latest years. The subjective evaluation of a clinician is complemented with an objective measure of relevant parameters of voice. Praat, MDVP and SAV are some examples of software for speech analysis. In this paper we describe an algorithm for the estimation of the fundamental frequency that considers the non-periodic nature of the speech signal under analysis. The experiments show that the use of these estimated f0 values reduces the errors in perturbation measures of f0, compared to the errors of other state-of-the-art speech analysis softwares, such as Praat and MDVP.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Speech analysis
pitch estimation
pathological voice
JAVA
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/152734
Acceder
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network_name_str SEDICI (UNLP)
spelling Robust Estimation of Jitter in Pathological VoicesAgüero, Pablo DanielTulli, Juan CarlosGonzález, Esteban LucioUriz, AlejandroGarin, JuanAranda, GonzaloCiencias InformáticasSpeech analysispitch estimationpathological voiceJAVAAcoustical analysis of speech using computers has reached an important development in the latest years. The subjective evaluation of a clinician is complemented with an objective measure of relevant parameters of voice. Praat, MDVP and SAV are some examples of software for speech analysis. In this paper we describe an algorithm for the estimation of the fundamental frequency that considers the non-periodic nature of the speech signal under analysis. The experiments show that the use of these estimated f0 values reduces the errors in perturbation measures of f0, compared to the errors of other state-of-the-art speech analysis softwares, such as Praat and MDVP.Sociedad Argentina de Informática e Investigación Operativa2010info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf1650-1658http://sedici.unlp.edu.ar/handle/10915/152734enginfo:eu-repo/semantics/altIdentifier/url/http://39jaiio.sadio.org.ar/sites/default/files/39-jaiio-ast-13.pdfinfo:eu-repo/semantics/altIdentifier/issn/1850-2806info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T11:31:09Zoai:sedici.unlp.edu.ar:10915/152734Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 11:31:10.214SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Robust Estimation of Jitter in Pathological Voices
title Robust Estimation of Jitter in Pathological Voices
spellingShingle Robust Estimation of Jitter in Pathological Voices
Agüero, Pablo Daniel
Ciencias Informáticas
Speech analysis
pitch estimation
pathological voice
JAVA
title_short Robust Estimation of Jitter in Pathological Voices
title_full Robust Estimation of Jitter in Pathological Voices
title_fullStr Robust Estimation of Jitter in Pathological Voices
title_full_unstemmed Robust Estimation of Jitter in Pathological Voices
title_sort Robust Estimation of Jitter in Pathological Voices
dc.creator.none.fl_str_mv Agüero, Pablo Daniel
Tulli, Juan Carlos
González, Esteban Lucio
Uriz, Alejandro
Garin, Juan
Aranda, Gonzalo
author Agüero, Pablo Daniel
author_facet Agüero, Pablo Daniel
Tulli, Juan Carlos
González, Esteban Lucio
Uriz, Alejandro
Garin, Juan
Aranda, Gonzalo
author_role author
author2 Tulli, Juan Carlos
González, Esteban Lucio
Uriz, Alejandro
Garin, Juan
Aranda, Gonzalo
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Speech analysis
pitch estimation
pathological voice
JAVA
topic Ciencias Informáticas
Speech analysis
pitch estimation
pathological voice
JAVA
dc.description.none.fl_txt_mv Acoustical analysis of speech using computers has reached an important development in the latest years. The subjective evaluation of a clinician is complemented with an objective measure of relevant parameters of voice. Praat, MDVP and SAV are some examples of software for speech analysis. In this paper we describe an algorithm for the estimation of the fundamental frequency that considers the non-periodic nature of the speech signal under analysis. The experiments show that the use of these estimated f0 values reduces the errors in perturbation measures of f0, compared to the errors of other state-of-the-art speech analysis softwares, such as Praat and MDVP.
Sociedad Argentina de Informática e Investigación Operativa
description Acoustical analysis of speech using computers has reached an important development in the latest years. The subjective evaluation of a clinician is complemented with an objective measure of relevant parameters of voice. Praat, MDVP and SAV are some examples of software for speech analysis. In this paper we describe an algorithm for the estimation of the fundamental frequency that considers the non-periodic nature of the speech signal under analysis. The experiments show that the use of these estimated f0 values reduces the errors in perturbation measures of f0, compared to the errors of other state-of-the-art speech analysis softwares, such as Praat and MDVP.
publishDate 2010
dc.date.none.fl_str_mv 2010
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info:eu-repo/semantics/publishedVersion
Objeto de conferencia
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status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/152734
url http://sedici.unlp.edu.ar/handle/10915/152734
dc.language.none.fl_str_mv eng
language eng
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info:eu-repo/semantics/altIdentifier/issn/1850-2806
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
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