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Detection of voicing and place of articulation of fricatives with deep learning in a virtual speech and language therapy tutor

dc.contributor.authorAnjos, Ivo
dc.contributor.authorMaxine, Eskenazi
dc.contributor.authorMarques, Nuno
dc.contributor.authorGrilo, Ana Margarida
dc.contributor.authorGuimarães, Isabel
dc.contributor.authorMagalhães, João
dc.contributor.authorCavaco, Sofia
dc.date.accessioned2022-03-30T16:13:18Z
dc.date.available2022-03-30T16:13:18Z
dc.date.issued2020-10-25
dc.description.abstractChildren with fricative distortion errors have to learn how to correctly use the vocal folds, and which place of articulation to use in order to correctly produce the different fricatives. Here we propose a virtual tutor for fricatives distortion correction. This is a virtual tutor for speech and language therapy that helps children understand their fricative production errors and how to correctly use their speech organs. The virtual tutor uses log Mel filter banks and deep learning techniques with spectral-temporal convolutions of the data to classify the fricatives in children’s speech by place of articulation and voicing. It achieves an accuracy of 90:40% for place of articulation and 90:93% for voicing with children’s speech. Furthermore, this paper discusses a multidimensional advanced data analysis of the first layer convolutional kernel filters that validates the usefulness of performing the convolution on the log Mel filter bank.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doihttp://dx.doi.org/10.21437/Interspeech.2020-2821pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.26/39944
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.subjectFricativespt_PT
dc.subjectSpeech and language therapypt_PT
dc.subjectConvolutional neural networkspt_PT
dc.titleDetection of voicing and place of articulation of fricatives with deep learning in a virtual speech and language therapy tutorpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceXangaipt_PT
oaire.citation.issue2020pt_PT
oaire.citation.titleINTERSPEECH 2020pt_PT
person.familyNameNogueira Leitão Lima Grilo
person.familyNameGuimarães
person.givenNameAna Margarida
person.givenNameIsabel
person.identifier548796
person.identifier.ciencia-idF014-BFD6-49C2
person.identifier.orcid0000-0003-2187-8253
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.isAuthorOfPublicationdc9a77a2-eecf-4d30-88fa-4200275eccf5
relation.isAuthorOfPublication.latestForDiscoverydc9a77a2-eecf-4d30-88fa-4200275eccf5

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