1. Repositório Institucional da UFMG
  2. Publicações Científicas e Culturais
  3. Artigo de Periódico
Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/58800
Full metadata record
DC FieldValueLanguage
dc.creatorTommaso Rasopt_BR
dc.creatorBárbara Teixeirapt_BR
dc.creatorPlinio Barbosapt_BR
dc.date.accessioned2023-09-19T21:34:29Z-
dc.date.available2023-09-19T21:34:29Z-
dc.date.issued2020-09-09-
dc.citation.volume9pt_BR
dc.citation.spage105pt_BR
dc.citation.epage128pt_BR
dc.identifier.doihttps://doi.org/10.20396/joss.v9i00.14957pt_BR
dc.identifier.issn2236-9740pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/58800-
dc.description.resumoSpeech is segmented into intonational units marked by prosodic boundaries. This segmentation is claimed to have important consequences on syntax, information structure and cognition. This work aims both to investigate the phonetic-acoustic parameters that guide the production and perception of prosodic boundaries, and to develop models for automatic detection of prosodic boundaries in male monological spontaneous speech of Brazilian Portuguese. Two samples were segmented into intonational units by two groups of trained annotators. The boundaries perceived by the annotators were tagged as either terminal or non-terminal. A script was used to extract 111 phonetic-acoustic parameters along speech signal in a right and left windows around the boundary of each phonological word. The extracted parameters comprise measures of (1) Speech rate and rhythm; (2) Standardized segment duration; (3) Fundamental frequency; (4) Intensity; (5) Silent pause. The script considers as prosodic boundary positions at which at least 50% of the annotators indicated a boundary of the same type. A training of models composed by the parameters extracted by the script was developed; these models, were then improved heuristically. The models were developed from the two samples and from the whole data, both using non-balanced and balanced data. Linear Discriminant Analysis algorithm was adopted to produce the models. The models for terminal boundaries show a much higher performance than those for non-terminal ones. In this paper we: (i) show the methodological procedures; (ii) analyze the different models; (iii) discuss some strategies that could lead to an improvement of our results.pt_BR
dc.format.mimetypepdfpt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentFALE - FACULDADE DE LETRASpt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofJournal of Speech Sciencespt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectProsodic boundariespt_BR
dc.subjectAutomatic detectionpt_BR
dc.subjectSpontaneous speechpt_BR
dc.subject.otherAtos de fala (Linguística)pt_BR
dc.subject.otherLíngua portuguesa - Fonologiapt_BR
dc.titleModelling automatic detection of prosodic boundaries for Brazilian Portuguese spontaneous speechpt_BR
dc.typeArtigo de Periódicopt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-3446-313Xpt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-6317-3548pt_BR
Appears in Collections:Artigo de Periódico

Files in This Item:
File Description SizeFormat 
Modelling automatic detection of prosodic boundaries for Brazilian Portuguese spontaneous speech.pdf1.36 MBAdobe PDFView/Open
Show simple item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.