Publicación:
Automatic Assessment of Prosodic Quality in Down Syndrome: Analysis of the Impact of Speaker Heterogeneity

dc.contributor.authorCorrales Astorgano, Mario
dc.contributor.authorMartínez Castilla, Pastora
dc.contributor.authorEscudero Mancebo, David
dc.contributor.authorAguilar, Lourdes
dc.contributor.authorGonzález Ferreras, César
dc.contributor.authorCardeñoso Payo, Valentín
dc.contributor.funderMinisterio de Ciencia, Innovación y Universidades
dc.contributor.funderEuropean Regional Development Fund FEDER
dc.contributor.funderJunta de Castilla y León
dc.contributor.funderBBVA Foundation (2015-2017)
dc.date.accessioned2025-10-24T11:54:39Z
dc.date.available2025-10-24T11:54:39Z
dc.date.issued2019-04-19
dc.descriptionThis is the Accepted Manuscript of an article published by MDPI in "Applied Science, 9, 2019, available online: https://doi.org/10.3390/app9071440
dc.descriptionEste es el manuscrito aceptado de un artículo publicado por MDPI in "Applied Science, 9, 2019, disponible en línea: https://doi.org/10.3390/app9071440
dc.descriptionFinanciación: The activities of Down syndrome speech analysis continue (1/2018-12/2020) in the project funded by the Ministerio de Ciencia, Innovación y Universidades and the European Regional Development Fund FEDER (TIN2017-88858-C2-1-R) and in the project funded by Junta de Castilla y León (VA050G18). Part of this work was funded by BBVA Foundation (2015-2017) in the framework of the project PRADIA: Pragmatics and prosody: the graphic adventure game.
dc.description.abstractProsody is a fundamental speech element responsible for communicative functions such as intonation, accent and phrasing, and prosodic impairments of individuals with intellectual disabilities reduce their communication skills. Yet, technological resources have paid little attention to prosody. This study aims to develop an automatic classifier to predict the prosodic quality of utterances produced by individuals with Down syndrome, and to analyse how inter-individual heterogeneity affects assessment results. A therapist and an expert in prosody judged the prosodic appropriateness of a corpus of Down syndrome’ utterances collected through a video game. The judgments of the expert were used to train an automatic classifier that predicts prosodic quality by using a set of fundamental frequency, duration and intensity features. The classifier accuracy was 79.3% and its true positive rate 89.9%. We analyzed how informative each of the features was for the assessment and studied relationships between participants’ developmental level and results: interspeaker variability conditioned the relative weight of prosodic features for automatic classification and participants’ developmental level was related to the prosodic quality of their productions. Therefore, since speaker variability is an intrinsic feature of individuals with Down syndrome, it should be considered to attain an effective automatic prosodic assessment system.en
dc.description.versionversión publicada
dc.identifier.citationCorrales-Astorgano, M., Martínez-Castilla, P., Escudero-Mancebo, D., Aguilar, L., González-Ferreras, C., y Cardeñoso-Payo, V. (2019). Automatic assessment of prosodic quality in Down syndrome: Analysis of the impact of speaker heterogeneity. Applied Science - Basel, 9, 1440; https://doi.org/10.3390/app9071440
dc.identifier.doihttps://doi.org/10.3390/app9071440
dc.identifier.issn2076-3417
dc.identifier.urihttps://hdl.handle.net/20.500.14468/30607
dc.journal.issue7
dc.journal.titleApplied Science
dc.journal.volume9
dc.language.isoen
dc.page.initial1440
dc.publisherWILEY
dc.relation.centerFacultad de Psicología
dc.relation.departmentPsicología Evolutiva y de la Educación
dc.relation.professorshipinfo:eu-repo/grantAgreement/JCYL//VA050G18
dc.relation.projectidinfo:eu-repo/grantAgreement/MCIU/FEDER/TIN2017-88858-C2-1-R
dc.relation.projectidinfo:eu-repo/grantAgreement/BBVA/PRADIA: Pragmática y prosodia: el juego de aventura gráfica//
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.es
dc.subject61 Psicología
dc.subject.keywordsprosodyen
dc.subject.keywordsautomatic classificationen
dc.subject.keywordsDown syndromeen
dc.subject.keywordseducational video gamesen
dc.titleAutomatic Assessment of Prosodic Quality in Down Syndrome: Analysis of the Impact of Speaker Heterogeneityen
dc.typeartículoes
dc.typejournal articleen
dspace.entity.typePublication
relation.isAuthorOfPublication8af55ee5-ea37-48ff-8243-9723df7f3e22
relation.isAuthorOfPublication.latestForDiscovery8af55ee5-ea37-48ff-8243-9723df7f3e22
Archivos
Bloque original
Mostrando 1 - 1 de 1
Cargando...
Miniatura
Nombre:
Corrales-Astorgano et al 2019 Automatic asses_PASTORA MARTINEZ CAS.pdf
Tamaño:
362 KB
Formato:
Adobe Portable Document Format
Bloque de licencias
Mostrando 1 - 1 de 1
No hay miniatura disponible
Nombre:
license.txt
Tamaño:
3.62 KB
Formato:
Item-specific license agreed to upon submission
Descripción: