1. Repositório do Iscte – Instituto Universitário de Lisboa
  2. Escola de Tecnologias e Arquitetura
  3. ISTAR-Iscte - Information Sciences and Technologies and Architecture Research Center
  4. ISTAR-CRI - Comunicações a conferências internacionais
Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/27869
Registo completo
Campo DCValorIdioma
dc.contributor.authorHämäläinen, A.-
dc.contributor.authorMoreira, F. P.-
dc.contributor.authorAvelar, J.-
dc.contributor.authorBraga, D.-
dc.contributor.authorDias, M. S.-
dc.contributor.editorHartmann, B., and Horvitz, E.-
dc.date.accessioned2023-02-13T15:31:41Z-
dc.date.available2023-02-13T15:31:41Z-
dc.date.issued2013-
dc.identifier.citationHämäläinen, A., Moreira, F. P., Avelar, J., Braga, D., & Dias, M. S. (2013). Transcribing and annotating speech corpora for speech recognition: A three-step crowdsourcing approach with quality control. In B. Hartmann, & E. Horvitz (Eds.), Proceedings of the 1st AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2013 (vol. WS-13-18, pp. 30-31). AAAI Press. https://doi.org/10.1609/hcomp.v1i1.13102-
dc.identifier.isbn978-1-57735-607-3-
dc.identifier.urihttp://hdl.handle.net/10071/27869-
dc.description.abstractLarge speech corpora with word-level transcriptions annotated for noises and disfluent speech are necessary for training automatic speech recognisers. Crowdsourcing is a lower-cost, faster-turnaround, highly scalable alternative for expert transcription and annotation. In this paper, we showcase our three-step crowdsourcing approach motivated by the importance of accurate transcriptions and annotations.eng
dc.language.isoeng-
dc.publisherAAAI Press-
dc.relation.ispartofProceedings of the 1st AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2013-
dc.rightsopenAccess-
dc.subjectAutomatic speech recognitioneng
dc.subjectSpeech corporaeng
dc.subjectTranscriptioneng
dc.subjectAnnotationeng
dc.subjectCrowdsourcingeng
dc.titleTranscribing and annotating speech corpora for speech recognition: A three-step crowdsourcing approach with quality controleng
dc.typeconferenceObject-
dc.event.title1st AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2013-
dc.event.typeConferênciapt
dc.event.locationPalm Springs, California, USAeng
dc.event.date2013-
dc.pagination30 - 31-
dc.peerreviewedyes-
dc.volumeWS-13-18-
dc.date.updated2023-02-13T15:27:37Z-
dc.description.versioninfo:eu-repo/semantics/publishedVersion-
dc.identifier.doi10.1609/hcomp.v1i1.13102-
dc.subject.fosDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informaçãopor
dc.subject.fosDomínio/Área Científica::Humanidades::Línguas e Literaturaspor
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-16895-
iscte.alternateIdentifiers.scopus2-s2.0-84899503030-
Aparece nas coleções:ISTAR-CRI - Comunicações a conferências internacionais

Ficheiros deste registo:
Ficheiro TamanhoFormato 
conferenceobject_16895.pdf482,85 kBAdobe PDFVer/Abrir
Mostrar registo em formato simples Visualizar estatísticas


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis Logotipo do Orcid 

Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.