Exploring the anatomical encoding of voice with a mathematical model of the vocal system
- Autores
- Assaneo, María Florencia; Sitt, Jacobo Diego; Varoquaux, Gael; Sigman, Mariano; Cohen, Laurent; Trevisan, Marcos Alberto
- Año de publicación
- 2016
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The faculty of language depends on the interplay between the production and perception of speech sounds. A relevant open question is whether the dimensions that organize voice perception in the brain are acoustical or depend on properties of the vocal system that produced it. One of the main empirical difficulties in answering this question is to generate sounds that vary along a continuum according to the anatomical properties the vocal apparatus that produced them. Here we use a mathematical model that offers the unique possibility of synthesizing vocal sounds by controlling a small set of anatomically based parameters. In a first stage the quality of the synthetic voice was evaluated. Using specific time traces for sub-glottal pressure and tension of the vocal folds, the synthetic voices generated perceptual responses, which are indistinguishable from those of real speech. The synthesizer was then used to investigate how the auditory cortex responds to the perception of voice depending on the anatomy of the vocal apparatus. Our fMRI results show that sounds are perceived as human vocalizations when produced by a vocal system that follows a simple relationship between the size of the vocal folds and the vocal tract. We found that these anatomical parameters encode the perceptual vocal identity (male, female, child) and show that the brain areas that respond to human speech also encode vocal identity. On the basis of these results, we propose that this low-dimensional model of the vocal system is capable of generating realistic voices and represents a novel tool to explore the voice perception with a precise control of the anatomical variables that generate speech. Furthermore, the model provides an explanation of how auditory cortices encode voices in terms of the anatomical parameters of the vocal system.
Fil: Assaneo, María Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina. University of New York; Estados Unidos
Fil: Sitt, Jacobo Diego. Inserm; Francia. Universite de Paris VI; Francia. Centre de Recherche de I'institut Du Cerveau Et de la Moelle Epiniere; Francia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Varoquaux, Gael. Inserm; Francia. Institut National de Recherche en Informatique et en Automatique; Francia
Fil: Sigman, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina. Universidad Torcuato di Tella; Argentina
Fil: Cohen, Laurent. Centre de Recherche de I'institut Du Cerveau Et de la Moelle Epiniere; Francia. Universite de Paris VI; Francia
Fil: Trevisan, Marcos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina - Materia
-
Biomechanical Vocal Model
Neural Coding of Voice
Voice Identity
Auditory Cortex - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/46562
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Exploring the anatomical encoding of voice with a mathematical model of the vocal systemAssaneo, María FlorenciaSitt, Jacobo DiegoVaroquaux, GaelSigman, MarianoCohen, LaurentTrevisan, Marcos AlbertoBiomechanical Vocal ModelNeural Coding of VoiceVoice IdentityAuditory Cortexhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1The faculty of language depends on the interplay between the production and perception of speech sounds. A relevant open question is whether the dimensions that organize voice perception in the brain are acoustical or depend on properties of the vocal system that produced it. One of the main empirical difficulties in answering this question is to generate sounds that vary along a continuum according to the anatomical properties the vocal apparatus that produced them. Here we use a mathematical model that offers the unique possibility of synthesizing vocal sounds by controlling a small set of anatomically based parameters. In a first stage the quality of the synthetic voice was evaluated. Using specific time traces for sub-glottal pressure and tension of the vocal folds, the synthetic voices generated perceptual responses, which are indistinguishable from those of real speech. The synthesizer was then used to investigate how the auditory cortex responds to the perception of voice depending on the anatomy of the vocal apparatus. Our fMRI results show that sounds are perceived as human vocalizations when produced by a vocal system that follows a simple relationship between the size of the vocal folds and the vocal tract. We found that these anatomical parameters encode the perceptual vocal identity (male, female, child) and show that the brain areas that respond to human speech also encode vocal identity. On the basis of these results, we propose that this low-dimensional model of the vocal system is capable of generating realistic voices and represents a novel tool to explore the voice perception with a precise control of the anatomical variables that generate speech. Furthermore, the model provides an explanation of how auditory cortices encode voices in terms of the anatomical parameters of the vocal system.Fil: Assaneo, María Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina. University of New York; Estados UnidosFil: Sitt, Jacobo Diego. Inserm; Francia. Universite de Paris VI; Francia. Centre de Recherche de I'institut Du Cerveau Et de la Moelle Epiniere; Francia. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Varoquaux, Gael. Inserm; Francia. Institut National de Recherche en Informatique et en Automatique; FranciaFil: Sigman, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina. Universidad Torcuato di Tella; ArgentinaFil: Cohen, Laurent. Centre de Recherche de I'institut Du Cerveau Et de la Moelle Epiniere; Francia. Universite de Paris VI; FranciaFil: Trevisan, Marcos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; ArgentinaAcademic Press Inc Elsevier Science2016-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/46562Assaneo, María Florencia; Sitt, Jacobo Diego; Varoquaux, Gael; Sigman, Mariano; Cohen, Laurent; et al.; Exploring the anatomical encoding of voice with a mathematical model of the vocal system; Academic Press Inc Elsevier Science; Neuroimage; 141; 11-2016; 31-391053-8119CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.neuroimage.2016.07.033info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1053811916303408info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:02:35Zoai:ri.conicet.gov.ar:11336/46562instacron: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 13:02:36.154CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Exploring the anatomical encoding of voice with a mathematical model of the vocal system |
title |
Exploring the anatomical encoding of voice with a mathematical model of the vocal system |
spellingShingle |
Exploring the anatomical encoding of voice with a mathematical model of the vocal system Assaneo, María Florencia Biomechanical Vocal Model Neural Coding of Voice Voice Identity Auditory Cortex |
title_short |
Exploring the anatomical encoding of voice with a mathematical model of the vocal system |
title_full |
Exploring the anatomical encoding of voice with a mathematical model of the vocal system |
title_fullStr |
Exploring the anatomical encoding of voice with a mathematical model of the vocal system |
title_full_unstemmed |
Exploring the anatomical encoding of voice with a mathematical model of the vocal system |
title_sort |
Exploring the anatomical encoding of voice with a mathematical model of the vocal system |
dc.creator.none.fl_str_mv |
Assaneo, María Florencia Sitt, Jacobo Diego Varoquaux, Gael Sigman, Mariano Cohen, Laurent Trevisan, Marcos Alberto |
author |
Assaneo, María Florencia |
author_facet |
Assaneo, María Florencia Sitt, Jacobo Diego Varoquaux, Gael Sigman, Mariano Cohen, Laurent Trevisan, Marcos Alberto |
author_role |
author |
author2 |
Sitt, Jacobo Diego Varoquaux, Gael Sigman, Mariano Cohen, Laurent Trevisan, Marcos Alberto |
author2_role |
author author author author author |
dc.subject.none.fl_str_mv |
Biomechanical Vocal Model Neural Coding of Voice Voice Identity Auditory Cortex |
topic |
Biomechanical Vocal Model Neural Coding of Voice Voice Identity Auditory Cortex |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.3 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
The faculty of language depends on the interplay between the production and perception of speech sounds. A relevant open question is whether the dimensions that organize voice perception in the brain are acoustical or depend on properties of the vocal system that produced it. One of the main empirical difficulties in answering this question is to generate sounds that vary along a continuum according to the anatomical properties the vocal apparatus that produced them. Here we use a mathematical model that offers the unique possibility of synthesizing vocal sounds by controlling a small set of anatomically based parameters. In a first stage the quality of the synthetic voice was evaluated. Using specific time traces for sub-glottal pressure and tension of the vocal folds, the synthetic voices generated perceptual responses, which are indistinguishable from those of real speech. The synthesizer was then used to investigate how the auditory cortex responds to the perception of voice depending on the anatomy of the vocal apparatus. Our fMRI results show that sounds are perceived as human vocalizations when produced by a vocal system that follows a simple relationship between the size of the vocal folds and the vocal tract. We found that these anatomical parameters encode the perceptual vocal identity (male, female, child) and show that the brain areas that respond to human speech also encode vocal identity. On the basis of these results, we propose that this low-dimensional model of the vocal system is capable of generating realistic voices and represents a novel tool to explore the voice perception with a precise control of the anatomical variables that generate speech. Furthermore, the model provides an explanation of how auditory cortices encode voices in terms of the anatomical parameters of the vocal system. Fil: Assaneo, María Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina. University of New York; Estados Unidos Fil: Sitt, Jacobo Diego. Inserm; Francia. Universite de Paris VI; Francia. Centre de Recherche de I'institut Du Cerveau Et de la Moelle Epiniere; Francia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Varoquaux, Gael. Inserm; Francia. Institut National de Recherche en Informatique et en Automatique; Francia Fil: Sigman, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina. Universidad Torcuato di Tella; Argentina Fil: Cohen, Laurent. Centre de Recherche de I'institut Du Cerveau Et de la Moelle Epiniere; Francia. Universite de Paris VI; Francia Fil: Trevisan, Marcos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina |
description |
The faculty of language depends on the interplay between the production and perception of speech sounds. A relevant open question is whether the dimensions that organize voice perception in the brain are acoustical or depend on properties of the vocal system that produced it. One of the main empirical difficulties in answering this question is to generate sounds that vary along a continuum according to the anatomical properties the vocal apparatus that produced them. Here we use a mathematical model that offers the unique possibility of synthesizing vocal sounds by controlling a small set of anatomically based parameters. In a first stage the quality of the synthetic voice was evaluated. Using specific time traces for sub-glottal pressure and tension of the vocal folds, the synthetic voices generated perceptual responses, which are indistinguishable from those of real speech. The synthesizer was then used to investigate how the auditory cortex responds to the perception of voice depending on the anatomy of the vocal apparatus. Our fMRI results show that sounds are perceived as human vocalizations when produced by a vocal system that follows a simple relationship between the size of the vocal folds and the vocal tract. We found that these anatomical parameters encode the perceptual vocal identity (male, female, child) and show that the brain areas that respond to human speech also encode vocal identity. On the basis of these results, we propose that this low-dimensional model of the vocal system is capable of generating realistic voices and represents a novel tool to explore the voice perception with a precise control of the anatomical variables that generate speech. Furthermore, the model provides an explanation of how auditory cortices encode voices in terms of the anatomical parameters of the vocal system. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-11 |
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/11336/46562 Assaneo, María Florencia; Sitt, Jacobo Diego; Varoquaux, Gael; Sigman, Mariano; Cohen, Laurent; et al.; Exploring the anatomical encoding of voice with a mathematical model of the vocal system; Academic Press Inc Elsevier Science; Neuroimage; 141; 11-2016; 31-39 1053-8119 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/46562 |
identifier_str_mv |
Assaneo, María Florencia; Sitt, Jacobo Diego; Varoquaux, Gael; Sigman, Mariano; Cohen, Laurent; et al.; Exploring the anatomical encoding of voice with a mathematical model of the vocal system; Academic Press Inc Elsevier Science; Neuroimage; 141; 11-2016; 31-39 1053-8119 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.neuroimage.2016.07.033 info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1053811916303408 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Academic Press Inc Elsevier Science |
publisher.none.fl_str_mv |
Academic Press Inc Elsevier Science |
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reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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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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1842980027619082240 |
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12.993085 |