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dc.contributorUniversitat Ramon Llull. La Salle
dc.contributor.authorAlías Pujol, Francesc
dc.contributor.authorSevillano Domínguez, Xavier
dc.contributor.authorSocoró Carrié, Joan Claudi
dc.date.accessioned2021-06-11T07:31:56Z
dc.date.accessioned2023-07-13T09:53:01Z
dc.date.available2021-06-11T07:31:56Z
dc.date.available2023-07-13T09:53:01Z
dc.date.created2006-08
dc.date.issued2006-08
dc.identifier.urihttp://hdl.handle.net/20.500.14342/2961
dc.description.abstractThis work is a step further in our research towards developing a new strategy for high quality text-to-speech (TTS) synthesis among different domains. In this context, it is necessary to select the most appropriate domain for synthesizing the text input to the TTS system, task that can be solved including a text classifier (TC) in the classic TTS architecture. Since speech speaking style and prosody depend on the sequentiality and text structure of the message, the TC should consider not only thematic but also stylistic aspects of text. To this end, we introduce a new text modelling scheme based on an associative relational network, which represents texts as a weighted word-based graph. The conducted experiments validate the proposal in terms of both objective (text classification efficiency) and subjective (perceived synthetic speech quality) evaluation criteria.eng
dc.format.extent5 p.cat
dc.language.isoengcat
dc.publisherThe SIGIR Workshop on Directions in Computational Analysis of Stylistics in Text Retrieval, Seattle, August 2006cat
dc.relation.ispartofProceedings of the SIGIR Workshop on Directions in Computational Analysis of Stylistics in Text Retrievalcat
dc.rights© The Pennsylvania State University. Tots els drets reservats
dc.sourceRECERCAT (Dipòsit de la Recerca de Catalunya)
dc.subject.otherProcessament de la parlacat
dc.subject.otherParlacat
dc.titleText Classification based on Associative Relational Networks for Multi-Domain Text-to-Speech Synthesiscat
dc.typeinfo:eu-repo/semantics/conferenceObjectcat
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapcat


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