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HESITA(te) in Portuguese

2014-05Conference paper Open access
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datacite.subject.fosCiências Sociais::Ciências da Educação
datacite.subject.fosHumanidades::Línguas e Literaturas
datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg10:Reduzir as Desigualdades
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorCandeias, Sara
dc.contributor.authorCelorico, Dirce
dc.contributor.authorProença, Jorge
dc.contributor.authorVeiga, Arlindo
dc.contributor.authorLopes, Carla, Alexandra Calado Lopes
dc.contributor.authorPerdigão, Fernando
dc.date.accessioned2025-06-27T15:27:08Z
dc.date.available2025-06-27T15:27:08Z
dc.date.issued2014-05
dc.description9th International Conference on Language Resources and Evaluation, LREC 2014, Reykjavik, 26 May 2014 through 31 May 2014 - Code 131726
dc.descriptionhttps://scholar.google.com/scholar?q=HESITA%28te%29%20in%20Portuguese
dc.description.abstractHesitations, so-called disfluencies, are a characteristic of spontaneous speech, playing a primary role in its structure, reflecting aspects of the language production and the management of inter-communication. In this paper we intend to present a database of hesitations in European Portuguese speech - HESITA - as a relevant base of work to study a variety of speech phenomena. Patterns of hesitations, hesitation distribution according to speaking style, and phonetic properties of the fillers are some of the characteristics we extrapolated from the HESITA database. This database also represents an important resource for improvement in synthetic speech naturalness as well as in robust acoustic modelling for automatic speech recognition. The HESITA database is the output of a project in the speech-processing field for European Portuguese held by an interdisciplinary group in intimate articulation between engineering tools and experience and the linguistic approach.eng
dc.description.sponsorshipThis work was funded by FCT project (PTDC/CLE-.‐LIN/112411/2009) and partially supported by FCT, Instituto de Telecomunicações multiannual funding (PEst-OE/EEI/LA0008/2011). Sara Candeias and Jorge Proença are supported by the SFRH/BPD/36584/2007 and SFRH/BD/97204/2013 FCT grants, respectively.
dc.identifier.citationCandeias, S., Celorico, D., Proença, J., Veiga, A., Lopes, C., & Perdigão, F. (2014, May). HESITA (te) in Portuguese. In LREC (pp. 1564-1567).
dc.identifier.isbn978-295174088-4
dc.identifier.urihttp://hdl.handle.net/10400.8/13449
dc.language.isoeng
dc.peerreviewedyes
dc.publisherEuropean Language Resources Association (ELRA)
dc.relationHE[eee]SIT[u]ATION: Portuguese Hesitation Models
dc.relation.hasversionhttp://lrec2014.lrec-conf.org/en/
dc.relation.hasversionhttps://aclanthology.org/L14-1473/
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectDisfluencies
dc.subjectHesitations
dc.subjectEuropean Portuguese
dc.titleHESITA(te) in Portugueseeng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleHE[eee]SIT[u]ATION: Portuguese Hesitation Models
oaire.awardURIhttp://hdl.handle.net/10400.8/13448
oaire.citation.conferenceDate2014-05
oaire.citation.conferencePlaceReykjavik, Iceland
oaire.citation.endPage1567
oaire.citation.startPage1564
oaire.citation.titleProceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014
oaire.fundingStream3599-PPCDT
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameLopes
person.givenNameCarla
person.identifier.ciencia-idAF14-3048-F510
person.identifier.orcid0000-0002-5366-0016
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relation.isProjectOfPublication.latestForDiscoveryf4bb2d67-90ab-45be-853c-69955a00e31c

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Hesitations, so-called disfluencies, are a characteristic of spontaneous speech, playing a primary role in its structure, reflecting aspects of the language production and the management of inter-communication. In this paper we intend to present a database of hesitations in European Portuguese speech - HESITA - as a relevant base of work to study a variety of speech phenomena. Patterns of hesitations, hesitation distribution according to speaking style, and phonetic properties of the fillers are some of the characteristics we extrapolated from the HESITA database. This database also represents an important resource for improvement in synthetic speech naturalness as well as in robust acoustic modelling for automatic speech recognition. The HESITA database is the output of a project in the speech-processing field for European Portuguese held by an interdisciplinary group in intimate articulation between engineering tools and experience and the linguistic approach.
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