Usage of Spectral Distortion for Objective Evaluation of Personalized HRTF in the Median Plane

Autores
Tommasini, Fabián Carlos; Ramos, Oscar Alberto; Hug, Mercedes Ximena; Bermejo, Fernando Raul
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Measuring the head-related transfer functions (HRTFs) for each subject is a complex process. Therefore, it is necessary to develop procedures that allow the estimation of personalized HRTFs. It is common to estimate the weights of the principal component analysis (PCA) of a group of subjects based on some anthropometric parameters using multivariable regression modelling. Moreover, to objectively evaluate the goodness of fit} between the original HRTFs and the personalized ones, the spectral distortion (SD) is usually used too. However, its suitability in the median plane, in which the spectral profiles are crucial to localize a sound source, has not yet been demonstrated. This paper analyses the validity of the SD as a measure of the quality of the HRTF personalization in the median plane, from the localization point of view. The HRTFs were modelled from the weights estimated by multiple linear regression and artificial neural networks (ANNs). The SD was used to compare the HRTFs measured with those estimated. Likewise, the level of fitting accuracy of characteristic resonance and notches in the median plane was also compared. Despite the fact that the SD scores of ANNs are lower than those of the multiple linear regression and are similar to those reported by other studies, the errors obtained from analysing both central frequencies and levels for resonance and notches could be discriminated.
Fil: Tommasini, Fabián Carlos. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Centro de Investigación y Transferencia en Acústica; Argentina. Universidad Tecnológica Nacional. Facultad Regional Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Ramos, Oscar Alberto. Centro de Investigación y Transferencia en Acústica; Argentina. Universidad Tecnológica Nacional. Facultad Regional Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Hug, Mercedes Ximena. Centro de Investigación y Transferencia en Acústica; Argentina. Universidad Tecnológica Nacional. Facultad Regional Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Bermejo, Fernando Raul. Centro de Investigación y Transferencia en Acústica; Argentina. Universidad Tecnológica Nacional. Facultad Regional Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Materia
HEAD RELATED TRANSFER FUNCTION
HRTF PERSONALIZATION
PRINCIPAL COMPONENT ANALYSIS
MULTIPLE LINEAR REGRESSION
ARTIFICIAL NEURAL NETWORK
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:11336/181020

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network_name_str CONICET Digital (CONICET)
spelling Usage of Spectral Distortion for Objective Evaluation of Personalized HRTF in the Median PlaneTommasini, Fabián CarlosRamos, Oscar AlbertoHug, Mercedes XimenaBermejo, Fernando RaulHEAD RELATED TRANSFER FUNCTIONHRTF PERSONALIZATIONPRINCIPAL COMPONENT ANALYSISMULTIPLE LINEAR REGRESSIONARTIFICIAL NEURAL NETWORKhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1https://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Measuring the head-related transfer functions (HRTFs) for each subject is a complex process. Therefore, it is necessary to develop procedures that allow the estimation of personalized HRTFs. It is common to estimate the weights of the principal component analysis (PCA) of a group of subjects based on some anthropometric parameters using multivariable regression modelling. Moreover, to objectively evaluate the goodness of fit} between the original HRTFs and the personalized ones, the spectral distortion (SD) is usually used too. However, its suitability in the median plane, in which the spectral profiles are crucial to localize a sound source, has not yet been demonstrated. This paper analyses the validity of the SD as a measure of the quality of the HRTF personalization in the median plane, from the localization point of view. The HRTFs were modelled from the weights estimated by multiple linear regression and artificial neural networks (ANNs). The SD was used to compare the HRTFs measured with those estimated. Likewise, the level of fitting accuracy of characteristic resonance and notches in the median plane was also compared. Despite the fact that the SD scores of ANNs are lower than those of the multiple linear regression and are similar to those reported by other studies, the errors obtained from analysing both central frequencies and levels for resonance and notches could be discriminated.Fil: Tommasini, Fabián Carlos. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Centro de Investigación y Transferencia en Acústica; Argentina. Universidad Tecnológica Nacional. Facultad Regional Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; ArgentinaFil: Ramos, Oscar Alberto. Centro de Investigación y Transferencia en Acústica; Argentina. Universidad Tecnológica Nacional. Facultad Regional Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; ArgentinaFil: Hug, Mercedes Ximena. Centro de Investigación y Transferencia en Acústica; Argentina. Universidad Tecnológica Nacional. Facultad Regional Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; ArgentinaFil: Bermejo, Fernando Raul. Centro de Investigación y Transferencia en Acústica; Argentina. Universidad Tecnológica Nacional. Facultad Regional Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; ArgentinaInternational Institute of Acoustics and Vibration2014-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/181020Tommasini, Fabián Carlos; Ramos, Oscar Alberto; Hug, Mercedes Ximena; Bermejo, Fernando Raul; Usage of Spectral Distortion for Objective Evaluation of Personalized HRTF in the Median Plane; International Institute of Acoustics and Vibration; The International Journal of Acoustics and Vibration; 20; 2; 7-2014; 81-891027-58512415-1408CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://iiav.org/ijav/content/volumes/20_2015_1570691426853784/vol_2/707_fullpaper_518291434963778.pdfinfo:eu-repo/semantics/altIdentifier/doi/10.20855/ijav.2015.20.2371info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:05:42Zoai:ri.conicet.gov.ar:11336/181020instacron: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:34982025-09-29 10:05:42.541CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Usage of Spectral Distortion for Objective Evaluation of Personalized HRTF in the Median Plane
title Usage of Spectral Distortion for Objective Evaluation of Personalized HRTF in the Median Plane
spellingShingle Usage of Spectral Distortion for Objective Evaluation of Personalized HRTF in the Median Plane
Tommasini, Fabián Carlos
HEAD RELATED TRANSFER FUNCTION
HRTF PERSONALIZATION
PRINCIPAL COMPONENT ANALYSIS
MULTIPLE LINEAR REGRESSION
ARTIFICIAL NEURAL NETWORK
title_short Usage of Spectral Distortion for Objective Evaluation of Personalized HRTF in the Median Plane
title_full Usage of Spectral Distortion for Objective Evaluation of Personalized HRTF in the Median Plane
title_fullStr Usage of Spectral Distortion for Objective Evaluation of Personalized HRTF in the Median Plane
title_full_unstemmed Usage of Spectral Distortion for Objective Evaluation of Personalized HRTF in the Median Plane
title_sort Usage of Spectral Distortion for Objective Evaluation of Personalized HRTF in the Median Plane
dc.creator.none.fl_str_mv Tommasini, Fabián Carlos
Ramos, Oscar Alberto
Hug, Mercedes Ximena
Bermejo, Fernando Raul
author Tommasini, Fabián Carlos
author_facet Tommasini, Fabián Carlos
Ramos, Oscar Alberto
Hug, Mercedes Ximena
Bermejo, Fernando Raul
author_role author
author2 Ramos, Oscar Alberto
Hug, Mercedes Ximena
Bermejo, Fernando Raul
author2_role author
author
author
dc.subject.none.fl_str_mv HEAD RELATED TRANSFER FUNCTION
HRTF PERSONALIZATION
PRINCIPAL COMPONENT ANALYSIS
MULTIPLE LINEAR REGRESSION
ARTIFICIAL NEURAL NETWORK
topic HEAD RELATED TRANSFER FUNCTION
HRTF PERSONALIZATION
PRINCIPAL COMPONENT ANALYSIS
MULTIPLE LINEAR REGRESSION
ARTIFICIAL NEURAL NETWORK
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Measuring the head-related transfer functions (HRTFs) for each subject is a complex process. Therefore, it is necessary to develop procedures that allow the estimation of personalized HRTFs. It is common to estimate the weights of the principal component analysis (PCA) of a group of subjects based on some anthropometric parameters using multivariable regression modelling. Moreover, to objectively evaluate the goodness of fit} between the original HRTFs and the personalized ones, the spectral distortion (SD) is usually used too. However, its suitability in the median plane, in which the spectral profiles are crucial to localize a sound source, has not yet been demonstrated. This paper analyses the validity of the SD as a measure of the quality of the HRTF personalization in the median plane, from the localization point of view. The HRTFs were modelled from the weights estimated by multiple linear regression and artificial neural networks (ANNs). The SD was used to compare the HRTFs measured with those estimated. Likewise, the level of fitting accuracy of characteristic resonance and notches in the median plane was also compared. Despite the fact that the SD scores of ANNs are lower than those of the multiple linear regression and are similar to those reported by other studies, the errors obtained from analysing both central frequencies and levels for resonance and notches could be discriminated.
Fil: Tommasini, Fabián Carlos. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Centro de Investigación y Transferencia en Acústica; Argentina. Universidad Tecnológica Nacional. Facultad Regional Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Ramos, Oscar Alberto. Centro de Investigación y Transferencia en Acústica; Argentina. Universidad Tecnológica Nacional. Facultad Regional Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Hug, Mercedes Ximena. Centro de Investigación y Transferencia en Acústica; Argentina. Universidad Tecnológica Nacional. Facultad Regional Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Bermejo, Fernando Raul. Centro de Investigación y Transferencia en Acústica; Argentina. Universidad Tecnológica Nacional. Facultad Regional Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
description Measuring the head-related transfer functions (HRTFs) for each subject is a complex process. Therefore, it is necessary to develop procedures that allow the estimation of personalized HRTFs. It is common to estimate the weights of the principal component analysis (PCA) of a group of subjects based on some anthropometric parameters using multivariable regression modelling. Moreover, to objectively evaluate the goodness of fit} between the original HRTFs and the personalized ones, the spectral distortion (SD) is usually used too. However, its suitability in the median plane, in which the spectral profiles are crucial to localize a sound source, has not yet been demonstrated. This paper analyses the validity of the SD as a measure of the quality of the HRTF personalization in the median plane, from the localization point of view. The HRTFs were modelled from the weights estimated by multiple linear regression and artificial neural networks (ANNs). The SD was used to compare the HRTFs measured with those estimated. Likewise, the level of fitting accuracy of characteristic resonance and notches in the median plane was also compared. Despite the fact that the SD scores of ANNs are lower than those of the multiple linear regression and are similar to those reported by other studies, the errors obtained from analysing both central frequencies and levels for resonance and notches could be discriminated.
publishDate 2014
dc.date.none.fl_str_mv 2014-07
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/11336/181020
Tommasini, Fabián Carlos; Ramos, Oscar Alberto; Hug, Mercedes Ximena; Bermejo, Fernando Raul; Usage of Spectral Distortion for Objective Evaluation of Personalized HRTF in the Median Plane; International Institute of Acoustics and Vibration; The International Journal of Acoustics and Vibration; 20; 2; 7-2014; 81-89
1027-5851
2415-1408
CONICET Digital
CONICET
url http://hdl.handle.net/11336/181020
identifier_str_mv Tommasini, Fabián Carlos; Ramos, Oscar Alberto; Hug, Mercedes Ximena; Bermejo, Fernando Raul; Usage of Spectral Distortion for Objective Evaluation of Personalized HRTF in the Median Plane; International Institute of Acoustics and Vibration; The International Journal of Acoustics and Vibration; 20; 2; 7-2014; 81-89
1027-5851
2415-1408
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://iiav.org/ijav/content/volumes/20_2015_1570691426853784/vol_2/707_fullpaper_518291434963778.pdf
info:eu-repo/semantics/altIdentifier/doi/10.20855/ijav.2015.20.2371
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
application/pdf
application/pdf
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dc.publisher.none.fl_str_mv International Institute of Acoustics and Vibration
publisher.none.fl_str_mv International Institute of Acoustics and Vibration
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
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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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