A Perceptual Method to Rate Dysphonic Voices

Autores
Gurlekian, Jorge Alberto; Torres, Humberto Maximiliano; Cediel, Melissa Rincón
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
ObjectiveTo present and test a production-matching method with external references, looking at the improvement of inter-rater variability of expert evaluations.MethodIt consists of adjusting quality attribute levels of a synthetic vowel for a simultaneous matching with the natural patient vowel (NPV) attributes. In an initial experiment, seven speech-language pathology (SLP) experts performed this task with the new method and evaluated the same NPV with the standard method. Targets were twelve NPVs with a variety of quality attribute combinations. In a second experiment, we employed the proposed method to assess the evaluation performance of 65 SLP students.ResultsExpert evaluations show less dispersion for the proposed method than those obtained using the standard rating method. Student individual responses were compared with overall responses from their own group and were cross referenced with expert responses. A Kappa index is proposed as a measure of SLP students´ performance.ConclusionsThe proposed method was readily accepted by both SLP experts and students. Experts´ consensus was improved. SLP students could benefit by quickly learning to discriminate complex attributes, which usually demands demands years of experience.Key WordsDysphonic voice; Evaluation; Production; Matching; Inter-rater variability
Fil: Gurlekian, Jorge Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Inmunología, Genética y Metabolismo. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Inmunología, Genética y Metabolismo; Argentina
Fil: Torres, Humberto Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Inmunología, Genética y Metabolismo. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Inmunología, Genética y Metabolismo; Argentina
Fil: Cediel, Melissa Rincón. Universidad Manuela Beltrán; Colombia
Materia
DYSPHONIC VOICE
EVALUATION
INTERRATER VARIABLITY
MATCHING
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/113667
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A Perceptual Method to Rate Dysphonic VoicesGurlekian, Jorge AlbertoTorres, Humberto MaximilianoCediel, Melissa RincónDYSPHONIC VOICEEVALUATIONINTERRATER VARIABLITYMATCHINGhttps://purl.org/becyt/ford/3.2https://purl.org/becyt/ford/3ObjectiveTo present and test a production-matching method with external references, looking at the improvement of inter-rater variability of expert evaluations.MethodIt consists of adjusting quality attribute levels of a synthetic vowel for a simultaneous matching with the natural patient vowel (NPV) attributes. In an initial experiment, seven speech-language pathology (SLP) experts performed this task with the new method and evaluated the same NPV with the standard method. Targets were twelve NPVs with a variety of quality attribute combinations. In a second experiment, we employed the proposed method to assess the evaluation performance of 65 SLP students.ResultsExpert evaluations show less dispersion for the proposed method than those obtained using the standard rating method. Student individual responses were compared with overall responses from their own group and were cross referenced with expert responses. A Kappa index is proposed as a measure of SLP students´ performance.ConclusionsThe proposed method was readily accepted by both SLP experts and students. Experts´ consensus was improved. SLP students could benefit by quickly learning to discriminate complex attributes, which usually demands demands years of experience.Key WordsDysphonic voice; Evaluation; Production; Matching; Inter-rater variabilityFil: Gurlekian, Jorge Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Inmunología, Genética y Metabolismo. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Inmunología, Genética y Metabolismo; ArgentinaFil: Torres, Humberto Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Inmunología, Genética y Metabolismo. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Inmunología, Genética y Metabolismo; ArgentinaFil: Cediel, Melissa Rincón. Universidad Manuela Beltrán; ColombiaElsevier Science Inc2017-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/113667Gurlekian, Jorge Alberto; Torres, Humberto Maximiliano; Cediel, Melissa Rincón; A Perceptual Method to Rate Dysphonic Voices; Elsevier Science Inc; Journal Of Voice : Official Journal Of The Voice Foundation.; 33; 4; 12-2017; 453-4640892-1997CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.jvoice.org/article/S0892-1997(17)30535-0/fulltextinfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.jvoice.2018.01.007info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:03:49Zoai:ri.conicet.gov.ar:11336/113667instacron: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:34982025-09-10 13:03:49.532CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A Perceptual Method to Rate Dysphonic Voices
title A Perceptual Method to Rate Dysphonic Voices
spellingShingle A Perceptual Method to Rate Dysphonic Voices
Gurlekian, Jorge Alberto
DYSPHONIC VOICE
EVALUATION
INTERRATER VARIABLITY
MATCHING
title_short A Perceptual Method to Rate Dysphonic Voices
title_full A Perceptual Method to Rate Dysphonic Voices
title_fullStr A Perceptual Method to Rate Dysphonic Voices
title_full_unstemmed A Perceptual Method to Rate Dysphonic Voices
title_sort A Perceptual Method to Rate Dysphonic Voices
dc.creator.none.fl_str_mv Gurlekian, Jorge Alberto
Torres, Humberto Maximiliano
Cediel, Melissa Rincón
author Gurlekian, Jorge Alberto
author_facet Gurlekian, Jorge Alberto
Torres, Humberto Maximiliano
Cediel, Melissa Rincón
author_role author
author2 Torres, Humberto Maximiliano
Cediel, Melissa Rincón
author2_role author
author
dc.subject.none.fl_str_mv DYSPHONIC VOICE
EVALUATION
INTERRATER VARIABLITY
MATCHING
topic DYSPHONIC VOICE
EVALUATION
INTERRATER VARIABLITY
MATCHING
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.2
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv ObjectiveTo present and test a production-matching method with external references, looking at the improvement of inter-rater variability of expert evaluations.MethodIt consists of adjusting quality attribute levels of a synthetic vowel for a simultaneous matching with the natural patient vowel (NPV) attributes. In an initial experiment, seven speech-language pathology (SLP) experts performed this task with the new method and evaluated the same NPV with the standard method. Targets were twelve NPVs with a variety of quality attribute combinations. In a second experiment, we employed the proposed method to assess the evaluation performance of 65 SLP students.ResultsExpert evaluations show less dispersion for the proposed method than those obtained using the standard rating method. Student individual responses were compared with overall responses from their own group and were cross referenced with expert responses. A Kappa index is proposed as a measure of SLP students´ performance.ConclusionsThe proposed method was readily accepted by both SLP experts and students. Experts´ consensus was improved. SLP students could benefit by quickly learning to discriminate complex attributes, which usually demands demands years of experience.Key WordsDysphonic voice; Evaluation; Production; Matching; Inter-rater variability
Fil: Gurlekian, Jorge Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Inmunología, Genética y Metabolismo. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Inmunología, Genética y Metabolismo; Argentina
Fil: Torres, Humberto Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Inmunología, Genética y Metabolismo. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Inmunología, Genética y Metabolismo; Argentina
Fil: Cediel, Melissa Rincón. Universidad Manuela Beltrán; Colombia
description ObjectiveTo present and test a production-matching method with external references, looking at the improvement of inter-rater variability of expert evaluations.MethodIt consists of adjusting quality attribute levels of a synthetic vowel for a simultaneous matching with the natural patient vowel (NPV) attributes. In an initial experiment, seven speech-language pathology (SLP) experts performed this task with the new method and evaluated the same NPV with the standard method. Targets were twelve NPVs with a variety of quality attribute combinations. In a second experiment, we employed the proposed method to assess the evaluation performance of 65 SLP students.ResultsExpert evaluations show less dispersion for the proposed method than those obtained using the standard rating method. Student individual responses were compared with overall responses from their own group and were cross referenced with expert responses. A Kappa index is proposed as a measure of SLP students´ performance.ConclusionsThe proposed method was readily accepted by both SLP experts and students. Experts´ consensus was improved. SLP students could benefit by quickly learning to discriminate complex attributes, which usually demands demands years of experience.Key WordsDysphonic voice; Evaluation; Production; Matching; Inter-rater variability
publishDate 2017
dc.date.none.fl_str_mv 2017-12
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/11336/113667
Gurlekian, Jorge Alberto; Torres, Humberto Maximiliano; Cediel, Melissa Rincón; A Perceptual Method to Rate Dysphonic Voices; Elsevier Science Inc; Journal Of Voice : Official Journal Of The Voice Foundation.; 33; 4; 12-2017; 453-464
0892-1997
CONICET Digital
CONICET
url http://hdl.handle.net/11336/113667
identifier_str_mv Gurlekian, Jorge Alberto; Torres, Humberto Maximiliano; Cediel, Melissa Rincón; A Perceptual Method to Rate Dysphonic Voices; Elsevier Science Inc; Journal Of Voice : Official Journal Of The Voice Foundation.; 33; 4; 12-2017; 453-464
0892-1997
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.jvoice.org/article/S0892-1997(17)30535-0/fulltext
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jvoice.2018.01.007
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science Inc
publisher.none.fl_str_mv Elsevier Science Inc
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 12.993085

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