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A model for sibilant distortion detection in children

dc.contributor.authorAnjos, Ivo
dc.contributor.authorGrilo, Ana Margarida
dc.contributor.authorAscensão, Mariana
dc.contributor.authorGuimarães, Isabel
dc.contributor.authorMagalhães, João
dc.contributor.authorCavaco, Sofia
dc.date.accessioned2022-05-11T16:00:33Z
dc.date.available2022-05-11T16:00:33Z
dc.date.issued2018-11
dc.description.abstractThe distortion of sibilant sounds is a common type of speech sound disorder in European Portuguese speaking children. Speech and language pathologists (SLP) use different types of speech production tasks to assess these distortions. One of these tasks consists of the sustained production of isolated sibilants. Using these sound productions, SLPs usually rely on auditory perceptual evaluation to assess the sibilant distortions. Here we propose to use an isolated sibilant machine learning model to help SLPs assessing these distortions. Our model uses Mel frequency cepstral coefficients of the isolated sibilant phones and it was trained with data from 145 children. The analysis of the false negatives detected by the model can give insight into whether the child has a sibilant production distortion. We were able to confirm that there exist some relation between the model classification results and the distortion assessment of professional SLPs. Approximately 66% of the distortion cases identified by the model are confirmed by an SLP as having some sort of distortion or are perceived as being the production of a different sound.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doiDOI: 10.1145/3299852.3299863pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.26/40515
dc.language.isoengpt_PT
dc.subjectMachine learningpt_PT
dc.subjectSibilant soundspt_PT
dc.subjectSpeech sound disorderspt_PT
dc.subjectSigmatism assessmentpt_PT
dc.titleA model for sibilant distortion detection in childrenpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceOkinawa, Japãopt_PT
oaire.citation.endPage6pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleInternational Conference on Digital Medicine and Image Processing (DMIP)pt_PT
person.familyNameNogueira Leitão Lima Grilo
person.familyNameAscensão
person.familyNameGuimarães
person.givenNameAna Margarida
person.givenNameMariana
person.givenNameIsabel
person.identifier548796
person.identifier.ciencia-idF014-BFD6-49C2
person.identifier.orcid0000-0003-2187-8253
person.identifier.orcid0000-0002-9891-6556
person.identifier.orcid0000-0001-8524-8731
person.identifier.scopus-author-id57218855724
person.identifier.scopus-author-id24586862700
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication20b4e818-b3f1-4e20-83b6-fdaf8bb4d82c
relation.isAuthorOfPublication26fb19b6-4081-4695-bce0-5d382c8426ce
relation.isAuthorOfPublicationdc9a77a2-eecf-4d30-88fa-4200275eccf5
relation.isAuthorOfPublication.latestForDiscovery20b4e818-b3f1-4e20-83b6-fdaf8bb4d82c

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