Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/77817
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dc.contributor.authorCarmona-Duarte, C.en_US
dc.contributor.authorFerrer, M.A.en_US
dc.contributor.authorPlamondon, R.en_US
dc.contributor.authorGómez-Rodellar, A.en_US
dc.contributor.authorGómez-Vilda, P.en_US
dc.date.accessioned2021-02-23T08:46:40Z-
dc.date.available2021-02-23T08:46:40Z-
dc.date.issued2021en_US
dc.identifier.issn1866-9956en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/77817-
dc.description.abstractHuman movement studies and analyses have been fundamental in many scientific domains, ranging from neuroscience to education, pattern recognition to robotics, health care to sports, and beyond. Previous speech motor models were proposed to understand how speech movement is produced and how the resulting speech varies when some parameters are changed. However, the inverse approach, in which the muscular response parameters and the subject’s age are derived from real continuous speech, is not possible with such models. Instead, in the handwriting field, the kinematic theory of rapid human movements and its associated Sigma-lognormal model have been applied successfully to obtain the muscular response parameters. This work presents a speech kinematics-based model that can be used to study, analyze, and reconstruct complex speech kinematics in a simplified manner. A method based on the kinematic theory of rapid human movements and its associated Sigma-lognormal model are applied to describe and to parameterize the asymptotic impulse response of the neuromuscular networks involved in speech as a response to a neuromotor command. The method used to carry out transformations from formants to a movement observation is also presented. Experiments carried out with the (English) VTR-TIMIT database and the (German) Saarbrucken Voice Database, including people of different ages, with and without laryngeal pathologies, corroborate the link between the extracted parameters and aging, on the one hand, and the proportion between the first and second formants required in applying the kinematic theory of rapid human movements, on the other. The results should drive innovative developments in the modeling and understanding of speech kinematics.en_US
dc.languageengen_US
dc.relation.ispartofCognitive Computationen_US
dc.sourceCognitive Computation[ISSN 1866-9956], (Enero 2021)en_US
dc.subject3307 Tecnología electrónicaen_US
dc.subject.otherAgingen_US
dc.subject.otherKinematic Theory Of Rapid Human Movementsen_US
dc.subject.otherModeling Of The Neuromotor Systemen_US
dc.subject.otherSigma-Lognormal Modelen_US
dc.subject.otherSpeech Kinematicsen_US
dc.subject.otherSpeech Processingen_US
dc.titleSigma-Lognormal Modeling of Speechen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1007/s12559-020-09803-8en_US
dc.identifier.scopus85100597172-
dc.contributor.authorscopusid57221914612-
dc.contributor.authorscopusid55636321172-
dc.contributor.authorscopusid7004878474-
dc.contributor.authorscopusid57195322173-
dc.contributor.authorscopusid6507800333-
dc.identifier.eissn1866-9964-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.utils.revisionen_US
dc.date.coverdateEnero 2021en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-TELen_US
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptIDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptIDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.orcid0000-0002-4441-6652-
crisitem.author.orcid0000-0002-2924-1225-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameCarmona Duarte, María Cristina-
crisitem.author.fullNameFerrer Ballester, Miguel Ángel-
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