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The BioVisualSpeech european portuguese sibilants corpus

dc.contributor.authorGrilo, Ana Margarida
dc.contributor.authorGuimarães, Isabel
dc.contributor.authorAscensão, Mariana
dc.contributor.authorAbad, Alberto
dc.contributor.authorAnjos, Ivo
dc.contributor.authorMagalhães, João
dc.contributor.authorCavaco, Sofia
dc.date.accessioned2022-04-05T08:41:47Z
dc.date.available2022-04-05T08:41:47Z
dc.date.issued2020-03-04
dc.description.abstractAbstract. The development of reliable speech therapy computer tools that automatically classify speech productions depends on the quality of the speech data set used to train the classi cation algorithms. The data set should characterize the population in terms of age, gender and native language, but it should also have other important properties that characterize the population that is going to use the tool. Thus, apart from including samples from correct speech productions, it should also have samples from people with speech disorders. Also, the annotation of the data should include information on whether the phonemes are correctly or wrongly pronounced. Here, we present a corpus of European Portuguese children's speech data that we are using in the development of speech classi ers for speech therapy tools for Portuguese children. The corpus includes data from children with speech disorders and in which the labelling includes information about the speech production errors. This corpus, which has data from 356 children from 5 to 9 years of age, focuses on the European Portuguese sibilant consonants and can be used to train speech recognition models for tools to assist the detection and therapy of sigmatism.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doihttps://doi.org/10.1007/978-3-030-41505-1_3pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.26/40074
dc.language.isoengpt_PT
dc.publisherSpringer International Publishingpt_PT
dc.subjectSibilantspt_PT
dc.subjectEuropean Portuguese corpuspt_PT
dc.subjectSpeech sound disorderspt_PT
dc.titleThe BioVisualSpeech european portuguese sibilants corpuspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceÉvorapt_PT
oaire.citation.endPage33pt_PT
oaire.citation.issue2020pt_PT
oaire.citation.startPage23pt_PT
oaire.citation.titleInternational Conference on Computational Processing of the Portuguese Language (PROPOR 2020)pt_PT
oaire.citation.volume12037pt_PT
person.familyNameNogueira Leitão Lima Grilo
person.familyNameGuimarães
person.familyNameAscensão
person.givenNameAna Margarida
person.givenNameIsabel
person.givenNameMariana
person.identifier548796
person.identifier.ciencia-idF014-BFD6-49C2
person.identifier.orcid0000-0003-2187-8253
person.identifier.orcid0000-0001-8524-8731
person.identifier.orcid0000-0002-9891-6556
person.identifier.scopus-author-id57218855724
person.identifier.scopus-author-id24586862700
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication20b4e818-b3f1-4e20-83b6-fdaf8bb4d82c
relation.isAuthorOfPublicationdc9a77a2-eecf-4d30-88fa-4200275eccf5
relation.isAuthorOfPublication26fb19b6-4081-4695-bce0-5d382c8426ce
relation.isAuthorOfPublication.latestForDiscovery26fb19b6-4081-4695-bce0-5d382c8426ce

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