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dc.contributor.authorOrhan, Mustafa Cem
dc.contributor.authorDemiroğlu, Cenk
dc.date.accessioned2016-02-15T13:38:33Z
dc.date.available2016-02-15T13:38:33Z
dc.date.issued2011
dc.identifier.isbn978-1-4577-0462-8
dc.identifier.urihttp://hdl.handle.net/10679/2374
dc.identifier.urihttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5929767
dc.descriptionDue to copyright restrictions, the access to the full text of this article is only available via subscription.
dc.description.abstractHidden Markov Model (HMM) based text-to-speech (TTS) systems offer many advantages compared to the concatenative approach. One of those advantages is the ability to interpolate between different speakers to generate new voices. In this paper, speaker interpolation for HMM-based TTS (HTS) is described and listening test results for the interpolation of English and Turkish voices are presented. Similar to English, we obtained Turkish speech that strongly reflect the interpolation ratio in perceptual similarity. Some insight into the interpolation process is also provided by analysing the spectra of the reference and final voices.
dc.language.isotur
dc.publisherIEEE
dc.relation.ispartofSignal Processing and Communications Applications (SIU), 2011 IEEE 19th Conference on
dc.rightsrestrictedAccess
dc.titleKonuşmacı aradeğerlemeli SMM tabanlı metinden konuşma sentezleme si̇stemien_US
dc.title.alternativeHMM-based text to speech system with speaker interpolation
dc.typeConference paperen_US
dc.peerreviewedyes
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.startpage781
dc.identifier.endpage784
dc.identifier.doi10.1109/SIU.2011.5929767
dc.subject.keywordsHidden Markov models
dc.subject.keywordsSpeaker recognition
dc.subject.keywordsSpeech synthesis
dc.identifier.scopusSCOPUS:2-s2.0-79960432783
dc.contributor.ozugradstudentOrhan, Mustafa Cem
dc.contributor.authorMale2
dc.relation.publicationcategoryConference Paper - International - Institutional Academic Staff


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