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Communicative Speech Synthesis with XIMERA: A First Step

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dc.contributor.author Sinsuke Sakai en
dc.contributor.author Jinfu Ni en
dc.contributor.author Ranniery Maia en
dc.contributor.author Keiichi Tokuda en
dc.contributor.author Minoru Tsuzaki en
dc.contributor.author Tomoki Toda en
dc.contributor.author Hisashi Kawai en
dc.contributor.author Satoshi Nakamura en
dc.date.accessioned 2012-08-22T07:59:01Z en
dc.date.available 2012-08-22T07:59:01Z en
dc.date.issued 2007-08 en
dc.identifier.uri http://hdl.handle.net/10061/8270 en
dc.description SSW6: 6th ISCA Speech Synthesis Workshop, August 22-24, 2007, Bonn, Germany. en
dc.description.abstract This paper presents a corpus-based approach to communicative speech synthesis. We chose "good news" style and "bad news" style for our initial attempt to synthesize speech that has appropriate expressiveness desired in human-human or human-machine dialog. We utilized 10-hour "neutral" style speech corpus as well as smaller corpora with good news and bad news styles, each consisting of two to three hours of speech from the same speaker. We trained target HMM models with each style and synthesized speech with unit databases containing speech with the relevant style as well as neutral speech. From the listening tests, we found out that intended communicative styles were comprehended by listeners and that considerably high mean opinion score on naturalness was achieved with rather small, style-specific corpora. en
dc.language.iso en en
dc.title Communicative Speech Synthesis with XIMERA: A First Step en
dc.type.nii Conference Paper en
dc.textversion Publisher en
dc.identifier.spage 28 en
dc.identifier.epage 33 en
dc.identifier.NAIST-ID 73296626 en
dc.identifier.NAIST-ID 73292716 en

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