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A serious mobile game with visual feedback for training sibilant consonants

2017-12-16Conference object Restricted access
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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.accessioned2022-04-05T09:41:20Z
dc.date.available2022-04-05T09:41:20Z
dc.date.issued2017-12-16
dc.description.abstractAbstract. The distortion of sibilant sounds is a common type of speech sound disorder (SSD) in Portuguese speaking children. Speech and language pathologists (SLP) frequently use the isolated sibilants exercise to assess and treat this type of speech errors. While technological solutions like serious games can help SLPs to motivate the children on doing the exercises repeatedly, there is a lack of such games for this specic exercise. Another important aspect is that given the usual small number of therapy sessions per week, children are not improving at their maximum rate, which is only achieved by more intensive therapy. We propose a serious game for mobile platforms that allows children to practice their isolated sibilants exercises at home to correct sibilant distortions. This will allow children to practice their exercises more frequently, which can lead to faster improvements. The game, which uses an automatic speech recognition (ASR) system to classify the child sibilant productions, is controlled by the child's voice in real time and gives immediate visual feedback to the child about her sibilant productions. In order to keep the computation on the mobile platform as simple as possible, the game has a client-server architecture, in which the external server runs the ASR system. We trained it using raw Mel frequency cepstral coe cients, and we achieved very good results with an accuracy test score of above 91% using support vector machines.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doihttps://doi.org/10.1007/978-3-319-76270-8_30pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.26/40082
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer International Publishingpt_PT
dc.subjectMobile gamept_PT
dc.subjectSibilant consonantspt_PT
dc.subjectSpeech sound disorderspt_PT
dc.titleA serious mobile game with visual feedback for training sibilant consonantspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage21pt_PT
oaire.citation.issue2018pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleAdvances in computer entertainment technology, ACE 2017pt_PT
oaire.citation.volume10714pt_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.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication20b4e818-b3f1-4e20-83b6-fdaf8bb4d82c
relation.isAuthorOfPublication26fb19b6-4081-4695-bce0-5d382c8426ce
relation.isAuthorOfPublicationdc9a77a2-eecf-4d30-88fa-4200275eccf5
relation.isAuthorOfPublication.latestForDiscovery26fb19b6-4081-4695-bce0-5d382c8426ce

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