PyToBI: a toolkit for ToBI labeling under Python

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  • dc.contributor.author Domínguez Bajo, Mónica
  • dc.contributor.author Rohrer, Patrick Louis
  • dc.contributor.author Soler Company, Juan
  • dc.date.accessioned 2019-09-23T14:03:24Z
  • dc.date.available 2019-09-23T14:03:24Z
  • dc.date.issued 2019
  • dc.description Comunicació presentada a: Interspeech 2019, celebrada del 15 al 19 de setembre de 2019 a Graz, Àustria.ca
  • dc.description.abstract PyToBI is introduced as a user-friendly toolkit for the automatic annotation of intonation contours using the Tones and Breaks Indexes convention, known as ToBI.en
  • dc.description.sponsorship This project has received partial funding from the European Unions Horizon 2020 research and innovation program under grant agreement No 786731.en
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Domínguez M, Rohrer PL, Soler-Company J. PyToBI: a toolkit for ToBI labeling under Python. In: Interspeech 2019; 2019 Sept 15-19; Graz, Austria. Baixas: ISCA; 2019. p. 3675-6.
  • dc.identifier.issn 1990-9772
  • dc.identifier.uri http://hdl.handle.net/10230/42321
  • dc.language.iso eng
  • dc.publisher International Speech Communication Association (ISCA)
  • dc.relation.ispartof Interspeech 2019; 2019 Sept 15-19; Graz, Austria. Baixas: ISCA; 2019. p. 3675-6.
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/786731
  • dc.rights © 2019 ISCA
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.subject.keyword Speech prosodyen
  • dc.subject.keyword ToBIen
  • dc.subject.keyword Automatic annotationen
  • dc.subject.keyword Speech corporaen
  • dc.subject.keyword Acoustic parametersen
  • dc.subject.keyword Praaten
  • dc.subject.keyword Open-source softwareen
  • dc.subject.keyword Pythonen
  • dc.title PyToBI: a toolkit for ToBI labeling under Pythonen
  • dc.type info:eu-repo/semantics/conferenceObject
  • dc.type.version info:eu-repo/semantics/publishedVersion