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dc.contributor.authorHofer, Gregor O
dc.contributor.authorRichmond, Korin
dc.contributor.authorClark, Robert A J
dc.coverage.spatial4en
dc.date.accessioned2006-05-08T16:33:55Z
dc.date.available2006-05-08T16:33:55Z
dc.date.issued2005
dc.identifier.citationIn Proceedings, Interspeech'2005 - Eurospeech, 9th European Conference on Speech Communication and Technology, Lisbon, Portugal, September 4-8, 2005en
dc.identifier.urihttp://www.isca-speech.org/archive/interspeech_2005
dc.identifier.urihttp://hdl.handle.net/1842/920
dc.description.abstractThe goal of this project was to build a unit selection voice that could portray emotions with varying intensities. A suitable definition of an emotion was developed along with a descriptive framework that supported the work carried out. A single speaker was recorded portraying happy and angry speaking styles. Additionally a neutral database was also recorded. A target cost function was implemented that chose units according to emotion mark-up in the database. The Dictionary of Affect supported the emotional target cost function by providing an emotion rating for words in the target utterance. If a word was particularly ’emotional’, units from that emotion were favoured. In addition intensity could be varied which resulted in a bias to select a greater number emotional units. A perceptual evaluation was carried out and subjects were able to recognise reliably emotions with varying amounts of emotional units present in the target utterance.en
dc.format.extent2236754 bytes
dc.format.extent269806 bytes
dc.format.mimetypeapplication/postscript
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherInternational Speech Communication Associationen
dc.subjectspeech synthesisen
dc.subjectemotionen
dc.titleInformed Blending of Databases for Emotional Speech Synthesisen
dc.typeConference Paperen


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