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Towards automatic extraction of prosodic patterns for speech synthesis

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dc.contributor.author Domínguez Bajo, Mónica
dc.contributor.author Farrús, Mireia
dc.contributor.author Burga Díaz, Alicia
dc.contributor.author Wanner, Leo
dc.date.accessioned 2016-12-23T15:11:30Z
dc.date.available 2016-12-23T15:11:30Z
dc.date.issued 2014
dc.identifier.citation Domínguez M, Farrús M, Burga A, Wanner L. Towards automatic extraction of prosodic patterns for speech synthesis. In: Social and Linguistic Speech Prosody. Proceedings of the 7th international conference on Speech Prosody (SP2014); 2014 20-23 May; Dublin, Ireland. [Unknown place]: [ISCA], 2014. p. 1105-9.
dc.identifier.uri http://hdl.handle.net/10230/27841
dc.description Paper presented at: 7th international conference on Speech Prosody (SP2014); 2014 20-23 May; Dublin, Ireland.
dc.description.abstract This paper deals with the adaptation of AuToBI annotation for speech synthesis purposes. AuToBI is a tool that automatically determines and classifies the standard ToBI labels for American English. AuToBI annotation is performed word-by-word. However, for speech synthesis applications that use various layers of linguistic annotation (syntax, semantic information and prosody structures) and, in particular, for the detection of the correlation between the information structure and prosody, a labeling of intonation patterns at the intonational phrase level is essential. We present a rule-based procedure for initial AuToBI annotation and its adaptation a phrase-based annotation, avoiding thus a post-processing stage of the extracted labels. To validate our/nproposal, the outcome of the procedure is compared with manual annotation and with patterns prognosticated by information structure–prosody correlation argued for by main stream theories.
dc.description.sponsorship Parts of this work have been funded by a grant from the European/nCommission under the contract number FP7-ICT-610411./nThe second author is partially funded by a grant from the Spanish/nMinistry of Economy and Competitivity in the framework/nof the Juan de la Cierva fellowship program (JCI-2012-12272).
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher ISCA
dc.relation.ispartof Social and Linguistic Speech Prosody. Proceedings of the 7th international conference on Speech Prosody (SP2014); 2014 20-23 May; Dublin, Ireland. [Unknown place]: [ISCA], 2014. p. 1105-9.
dc.rights © ISCA
dc.title Towards automatic extraction of prosodic patterns for speech synthesis
dc.type info:eu-repo/semantics/conferenceObject
dc.subject.keyword Prosody
dc.subject.keyword Annotation
dc.subject.keyword ToBI
dc.subject.keyword AuToBI
dc.subject.keyword Thematicity
dc.subject.keyword Theme
dc.subject.keyword Rheme
dc.subject.keyword Speech synthesis
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/610411
dc.relation.projectID info:eu-repo/grantAgreement/EC/3PN/JCI2012-12272
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/submittedVersion

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