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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/181020
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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 application/pdf |
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 |
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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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1844613897001107456 |
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13.070432 |