German and czech speech synthesis using HMM-based speech segment database

dc.contributor.authorMatoušek, Jindřich
dc.contributor.authorTihelka, Daniel
dc.contributor.authorPsutka, Josef
dc.contributor.authorHesová, Jana
dc.date.accessioned2015-12-16T13:51:46Z
dc.date.available2015-12-16T13:51:46Z
dc.date.issued2002
dc.description.abstract-translatedThis paper presents an experimental German speech synthesis system. As in case of a Czech text-to-speech system ARTIC, statistical approach (using hidden Markov models) was employed to build a speech segment database. This approach was confirmed to be language independent and it was shown to be capable of designing a quality database that led to an intelligible synthetic speech of a high quality. Some experiments with clustering the similar speech contexts were performed to enhance the quality of the synthetic speech. Our results show the superiority of phoneme-level clustering to subphoneme-level one.en
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationMATOUŠEK, Jindřch; TIHELKA, Daniel; PSUTKA, Josef; HESOVÁ, Jana. German and czech speech synthesis using HMM-based speech segment database. In: Text, speech and dialogue. Berlin: Springer, 2002, p. 173-180. (Lecture notes in computer science; 2448). ISBN 3-540-44129-8.en
dc.identifier.isbn3-540-44129-8
dc.identifier.urihttp://www.kky.zcu.cz/cs/publications/MatousekJ_2002_GermanandCzech
dc.identifier.urihttp://hdl.handle.net/11025/17032
dc.language.isoenen
dc.publisherSpringeren
dc.relation.ispartofseriesLecture notes in computer science; 2448en
dc.rights© Jindřichich Matoušek - Daniel Tihelka - Josef Psutka - Jana Hesovács
dc.rights.accessopenAccessen
dc.subjectsyntéza řečics
dc.subjectskryté Markovovy modelycs
dc.subjectHMMcs
dc.subject.translatedspeech synthesisen
dc.subject.translatedhidden Markov modelsen
dc.subject.translatedHMMen
dc.titleGerman and czech speech synthesis using HMM-based speech segment databaseen
dc.title.alternativeSyntéza německé a české řeči s využitím databáze řečových jednotek založených na HMMcs
dc.typečlánekcs
dc.typearticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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