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dc.contributor.authorGüner, Ekrem
dc.contributor.authorDemiroğlu, Cenk
dc.date.accessioned2015-12-17T10:13:50Z
dc.date.available2015-12-17T10:13:50Z
dc.date.issued2012
dc.identifier.isbn978-1-4471-2155-8
dc.identifier.urihttp://hdl.handle.net/10679/1320
dc.identifier.urihttp://link.springer.com/chapter/10.1007%2F978-1-4471-2155-8_10
dc.descriptionDue to copyright restrictions, the access to the full text of this article is only available via subscription.en_US
dc.description.abstractUnit selection based text-to-speech synthesis (TTS) can generate high quality speech. However, The HMM-based text-to-speech (HTS) has also advantages such as the lack of spurious errors that are observed in the unit selection scheme. Another advantage is the small memory footprint requirement. Here, we propose a novel hybrid statistical/unit selection TTS system for agglutinative languages that aims at improving the quality of the baseline HTS system while keeping the memory footprint small. Listeners preferred the hybrid system over a state-of-the-art HTS baseline system in the A/B preference tests.en_US
dc.language.isoengen_US
dc.publisherSpringer Science+Business Mediaen_US
dc.rightsrestrictedAccess
dc.titleA small footprint hybrid statistical and unit selection text-to-speech synthesis system for Turkishen_US
dc.typeBook chapteren_US
dc.peerreviewedyesen_US
dc.publicationstatuspublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0002-6160-3169 & YÖK ID 144947) Demiroğlu, Cenk
dc.contributor.ozuauthorDemiroğlu, Cenk
dc.identifier.startpage85
dc.identifier.endpage91
dc.identifier.wosWOS:000398249500010
dc.subject.keywordsSpeech synthesisen_US
dc.subject.keywordsHybrid TTSen_US
dc.subject.keywordsHMM-based TTSen_US
dc.subject.keywordsTurkish TTSen_US
dc.subject.keywordsSmall memory footprinten_US
dc.subject.keywordsAgglutinative languagesen_US
dc.identifier.scopusSCOPUS:2-s2.0-84887847913
dc.contributor.ozugradstudentGüner, Ekrem
dc.contributor.authorMale2
dc.relation.publicationcategoryBook Chapter - International - Institutional Academic Staff and Graduate Student


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