Improved emotion recognition in speech by autistics: design, validation, and implementation of acoustically modulated prosodies

dc.audience.educationlevelInvestigadores/Researcherses_MX
dc.contributor.advisorAlonso Valerdi, Luz María
dc.contributor.authorDuville, Mathilde Marie
dc.contributor.catalogeremipsanchez
dc.contributor.committeememberGonzález Garrido, Andrés Antonio
dc.contributor.committeememberMartínez Méndez, Rigoberto
dc.contributor.committeememberMontesinos Silva, Luis Arturo
dc.contributor.departmentEscuela de Ingeniería y Cienciases_MX
dc.contributor.institutionCampus Monterreyes_MX
dc.contributor.mentorIbarra Zarate, David Isaac
dc.date.accepted2023-11-16
dc.date.accessioned2025-04-25T19:23:11Z
dc.date.issued2023-12-04
dc.descriptionhttps://orcid.org/0000-0002-2256-2958es_MX
dc.description.abstractThe prosodic structure of speech carries emotional information within uncertain acoustic environments where speaker, lexical, phonological, and affective dependencies for perception may exist. Socio-emotional disturbances are among the diagnostic criteria for the autism spectrum disorder, but autistics have been characterized with either impaired or typical emotional prosodies recognition, both at behavioral and neuronal scales. From a Bayesian framework we hypothesize that the oversampling of sensory evidence relative to the confidence ascribed towards internal representations would impair perception within highly variable environments. However, more reliable hierarchical structures of spectral and temporal cues would foster emotion recognition by autistics. Here, pitch, formants’ frequency, lexical stress, harmonics’ intensity, and speech rate have been edited from human voices to create stable acoustic environments. Electroencephalographic data have emphasized impaired emotion recognition while listening to human voices, that was improved when the acoustic volatility and variability of voices was reduced. Observations have been extended to the visual domain by behavioral measurements on a concomitant non-social task consistent with the over-precision ascribed to the environmental variability (sensory processing) that impaired the performance of autistics. To ensure the cultural validity of prosodies, a database adapted to the Mexican shaping of emotional expressions has been firstly developed. The recognition and induction of emotions by human and acoustically modulated voices have been validated by supervised learning and both neuronal and behavioral markers of human perception. This work offers insights into the definition of emotions by acoustic features, the neuronal processing of affective prosodies, its modulation by the acoustic variability of inputs, and the potential of certain environments to foster emotion recognition by autistics.es_MX
dc.description.degreeDoctora en Ciencias de Ingenieríaes_MX
dc.format.mediumTextoes_MX
dc.identificator3||339999||320599
dc.identifier.citationDuville, M. M. (2023). Improved emotion recognition in speech by autistics: Design, validation, and implementation of acoustically modulated prosodies. [Tesis doctorado]. Instituto Tecnológico y de Estudios Superiores de Monterrey. Recuperado de: https://hdl.handle.net/11285/703550
dc.identifier.doi10.1109/EMBC46164.2021.9629934
dc.identifier.doi10.3390/data6120130
dc.identifier.doi10.3389/fncom.2022.1022787
dc.identifier.doi10.1038/s41598-023-35013-x
dc.identifier.doi10.1016/j.dib.2023.109057
dc.identifier.doi10.3389/fnhum.2021.626146
dc.identifier.doi10.3390/app13126896
dc.identifier.orcidhttps://orcid.org/0000-0001-7309-3541es_MX
dc.identifier.scopusidhttps://www.scopus.com/authid/detail.uri?authorId=57217487212es_MX
dc.identifier.urihttps://hdl.handle.net/11285/703550
dc.language.isoenges_MX
dc.publisherInstituto Tecnológico y de Estudios Superiores de Monterreyes_MX
dc.relation.isFormatOfpublishedVersiones_MX
dc.relation.urlhttps://data.mendeley.com/datasets/cy34mh68j9/5es_MX
dc.relation.urlhttps://data.mendeley.com/datasets/spwnt8t25y/1es_MX
dc.relation.urlhttps://data.mendeley.com/datasets/7zf99hxxc9/1es_MX
dc.rightsopenAccesses_MX
dc.rights.urihttp://creativecommons.org/licenses/by-nd/4.0es_MX
dc.subject.classificationINGENIERÍA Y TECNOLOGÍA::CIENCIAS TECNOLÓGICAS::OTRAS ESPECIALIDADES TECNOLÓGICAS::OTRAS
dc.subject.classificationMEDICINA Y CIENCIAS DE LA SALUD::CIENCIAS MÉDICAS::MEDICINA INTERNA::OTRAS
dc.subject.keywordAutism spectrum disorderes_MX
dc.subject.keywordTypical developmentes_MX
dc.subject.keywordEmotiones_MX
dc.subject.keywordProsodyes_MX
dc.subject.keywordSpeech Naturalnesses_MX
dc.subject.keywordElectroencephalographyes_MX
dc.subject.keywordBehaviores_MX
dc.subject.keywordPerceptiones_MX
dc.subject.lcshScience
dc.subject.lcshMedicine
dc.titleImproved emotion recognition in speech by autistics: design, validation, and implementation of acoustically modulated prosodieses_MX
dc.typeTesis Doctorado / doctoral Thesises_MX

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