Estimation of RASATI scores using objective acoustical parameters

Autores
Aguero, Pablo Daniel; Tulli, Juan Carlos; Moscardi, Graciela; Gonzalez, Esteban Lucio; Uriz, Alejandro Jose
Año de publicación
2011
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. This paper describes an approach to estimate the subjective characteristics of RASATI scale given objective acoustical parameters. Two approaches were used: linear regression with non-negativity constraints, and neural networks. The experiments show that such approach gives correct evaluations with ±1 error in 80% of the cases.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
speech disorders
RASATI scale
acoustical analysis
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:10915/125327
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/125327
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network_name_str SEDICI (UNLP)
spelling Estimation of RASATI scores using objective acoustical parametersAguero, Pablo DanielTulli, Juan CarlosMoscardi, GracielaGonzalez, Esteban LucioUriz, Alejandro JoseCiencias Informáticasspeech disordersRASATI scaleacoustical analysisAcoustical 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. This paper describes an approach to estimate the subjective characteristics of RASATI scale given objective acoustical parameters. Two approaches were used: linear regression with non-negativity constraints, and neural networks. The experiments show that such approach gives correct evaluations with ±1 error in 80% of the cases.Sociedad Argentina de Informática e Investigación Operativa2011-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf67-76http://sedici.unlp.edu.ar/handle/10915/125327enginfo: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:UNLP2025-09-29T11:30:09Zoai:sedici.unlp.edu.ar:10915/125327Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:30:09.321SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Estimation of RASATI scores using objective acoustical parameters
title Estimation of RASATI scores using objective acoustical parameters
spellingShingle Estimation of RASATI scores using objective acoustical parameters
Aguero, Pablo Daniel
Ciencias Informáticas
speech disorders
RASATI scale
acoustical analysis
title_short Estimation of RASATI scores using objective acoustical parameters
title_full Estimation of RASATI scores using objective acoustical parameters
title_fullStr Estimation of RASATI scores using objective acoustical parameters
title_full_unstemmed Estimation of RASATI scores using objective acoustical parameters
title_sort Estimation of RASATI scores using objective acoustical parameters
dc.creator.none.fl_str_mv Aguero, Pablo Daniel
Tulli, Juan Carlos
Moscardi, Graciela
Gonzalez, Esteban Lucio
Uriz, Alejandro Jose
author Aguero, Pablo Daniel
author_facet Aguero, Pablo Daniel
Tulli, Juan Carlos
Moscardi, Graciela
Gonzalez, Esteban Lucio
Uriz, Alejandro Jose
author_role author
author2 Tulli, Juan Carlos
Moscardi, Graciela
Gonzalez, Esteban Lucio
Uriz, Alejandro Jose
author2_role author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
speech disorders
RASATI scale
acoustical analysis
topic Ciencias Informáticas
speech disorders
RASATI scale
acoustical analysis
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. This paper describes an approach to estimate the subjective characteristics of RASATI scale given objective acoustical parameters. Two approaches were used: linear regression with non-negativity constraints, and neural networks. The experiments show that such approach gives correct evaluations with ±1 error in 80% of the cases.
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. This paper describes an approach to estimate the subjective characteristics of RASATI scale given objective acoustical parameters. Two approaches were used: linear regression with non-negativity constraints, and neural networks. The experiments show that such approach gives correct evaluations with ±1 error in 80% of the cases.
publishDate 2011
dc.date.none.fl_str_mv 2011-08
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/125327
url http://sedici.unlp.edu.ar/handle/10915/125327
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/1850-2806
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
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
67-76
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
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reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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