Multi-domain Text-to-Speech Synthesis by Automatic Text Classification

This paper describes a multi-domain text-to-speech (MD-TTS)synthesis strategy for generating speech among different domainsand so increasing the flexibility of high quality TTS systems. Tothat effect, the MD-TTS introduces a flexible TTS architecture thatincludes an automatic domain classification m...

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Detalhes bibliográficos
Autores: Alías-Pujol, Francesc, Socoró, Joan Claudi, Sevillano, Xavier, Iriondo, Ignasi, Gonzalvo Fructuoso, Xavier
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2006
País:España
Recursos:Universitat Ramon Llull (URL)
Repositório:DAU Arxiu Digital de la Universitat Ramon Llull
OAI Identifier:oai:dau.url.edu:20.500.14342/2869
Acesso em linha:http://hdl.handle.net/20.500.14342/2869
Access Level:Acceso aberto
Palavra-chave:Parla
Processament de la parla
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spelling Multi-domain Text-to-Speech Synthesis by Automatic Text ClassificationAlías-Pujol, FrancescSocoró, Joan ClaudiSevillano, XavierIriondo, IgnasiGonzalvo Fructuoso, XavierParlaProcessament de la parlaThis paper describes a multi-domain text-to-speech (MD-TTS)synthesis strategy for generating speech among different domainsand so increasing the flexibility of high quality TTS systems. Tothat effect, the MD-TTS introduces a flexible TTS architecture thatincludes an automatic domain classification module, which allowsMD-TTS systems to be implemented by different synthesis strate-gies and speech corpus typologies. In this work, the performanceof a corpus-based MD-TTS system is subjectively validated bymeans of several perceptual testsNinth International Conference on Spoken Language Processing. INTERSPEECH 2006Universitat Ramon Llull. La Salle20202023202020232006info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion4 p.application/pdfhttp://hdl.handle.net/20.500.14342/2869RECERCAT (Dipòsit de la Recerca de Catalunya)reponame:DAU Arxiu Digital de la Universitat Ramon Llullinstname:Universitat Ramon Llull (URL)Inglésinfo:eu-repo/grantAgreement/MITYC/FIT-350301-2004-2/© L'autor/a. Tots els drets reservatsinfo:eu-repo/semantics/openAccessoai:dau.url.edu:20.500.14342/28692026-06-21T06:40:37Z
dc.title.none.fl_str_mv Multi-domain Text-to-Speech Synthesis by Automatic Text Classification
title Multi-domain Text-to-Speech Synthesis by Automatic Text Classification
spellingShingle Multi-domain Text-to-Speech Synthesis by Automatic Text Classification
Alías-Pujol, Francesc
Parla
Processament de la parla
title_short Multi-domain Text-to-Speech Synthesis by Automatic Text Classification
title_full Multi-domain Text-to-Speech Synthesis by Automatic Text Classification
title_fullStr Multi-domain Text-to-Speech Synthesis by Automatic Text Classification
title_full_unstemmed Multi-domain Text-to-Speech Synthesis by Automatic Text Classification
title_sort Multi-domain Text-to-Speech Synthesis by Automatic Text Classification
dc.creator.none.fl_str_mv Alías-Pujol, Francesc
Socoró, Joan Claudi
Sevillano, Xavier
Iriondo, Ignasi
Gonzalvo Fructuoso, Xavier
author Alías-Pujol, Francesc
author_facet Alías-Pujol, Francesc
Socoró, Joan Claudi
Sevillano, Xavier
Iriondo, Ignasi
Gonzalvo Fructuoso, Xavier
author_role author
author2 Socoró, Joan Claudi
Sevillano, Xavier
Iriondo, Ignasi
Gonzalvo Fructuoso, Xavier
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universitat Ramon Llull. La Salle
dc.subject.none.fl_str_mv Parla
Processament de la parla
topic Parla
Processament de la parla
description This paper describes a multi-domain text-to-speech (MD-TTS)synthesis strategy for generating speech among different domainsand so increasing the flexibility of high quality TTS systems. Tothat effect, the MD-TTS introduces a flexible TTS architecture thatincludes an automatic domain classification module, which allowsMD-TTS systems to be implemented by different synthesis strate-gies and speech corpus typologies. In this work, the performanceof a corpus-based MD-TTS system is subjectively validated bymeans of several perceptual tests
publishDate 2006
dc.date.none.fl_str_mv 2006
2020
2020
2023
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.14342/2869
url http://hdl.handle.net/20.500.14342/2869
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/MITYC/FIT-350301-2004-2/
dc.rights.none.fl_str_mv © L'autor/a. Tots els drets reservats
info:eu-repo/semantics/openAccess
rights_invalid_str_mv © L'autor/a. Tots els drets reservats
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 4 p.
application/pdf
dc.publisher.none.fl_str_mv Ninth International Conference on Spoken Language Processing. INTERSPEECH 2006
publisher.none.fl_str_mv Ninth International Conference on Spoken Language Processing. INTERSPEECH 2006
dc.source.none.fl_str_mv RECERCAT (Dipòsit de la Recerca de Catalunya)
reponame:DAU Arxiu Digital de la Universitat Ramon Llull
instname:Universitat Ramon Llull (URL)
instname_str Universitat Ramon Llull (URL)
reponame_str DAU Arxiu Digital de la Universitat Ramon Llull
collection DAU Arxiu Digital de la Universitat Ramon Llull
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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