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

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dc.contributor.authorAnjos, Ivo
dc.contributor.authorEskenazi, Maxine
dc.contributor.authorMarques, Nuno
dc.contributor.authorGrilo, Margarida
dc.contributor.authorGuimarães, Isabel
dc.contributor.authorMagalhães, João
dc.contributor.authorCavaco, Sofia
dc.contributor.institutionNOVALincs
dc.contributor.institutionDI - Departamento de Informática
dc.contributor.pblInternational Speech Communication Association
dc.date.accessioned2026-01-16T17:14:54Z
dc.date.available2026-01-16T17:14:54Z
dc.date.issued2020
dc.description
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.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent5
dc.format.extent674724
dc.identifier.doi10.21437/Interspeech.2020-2821
dc.identifier.issn2308-457X
dc.identifier.otherPURE: 28751524
dc.identifier.otherPURE UUID: f6d5d230-f602-49e7-9371-6b0d0d2d707f
dc.identifier.otherScopus: 85093105936
dc.identifier.urihttp://hdl.handle.net/10362/199450
dc.identifier.urlhttps://www.scopus.com/pages/publications/85093105936
dc.language.isoeng
dc.peerreviewedyes
dc.relationinfo:eu-repo/grantAgreement/FCT/5665-PICT/CMUP-ERI%2FTIC%2F0033%2F2014/PT
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FCEC%2F04516%2F2019/PT
dc.subjectConvolutional neural networks
dc.subjectFricatives
dc.subjectSpeech and language therapy
dc.subjectLanguage and Linguistics
dc.subjectHuman-Computer Interaction
dc.subjectSignal Processing
dc.subjectSoftware
dc.subjectModelling and Simulation
dc.titleDetection of voicing and place of articulation of fricatives with deep learning in a virtual speech and language therapy tutoren
dc.typejournal article
degois.publication.firstPage3156
degois.publication.lastPage3160
degois.publication.titleProceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
degois.publication.volume2020-October
dspace.entity.typePublication
rcaap.rightsopenAccess

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