Experiments with automatic segmentation for czech speech synthesis

dc.contributor.authorMatoušek, Jindřich
dc.contributor.authorTihelka, Daniel
dc.contributor.authorPsutka, Josef
dc.date.accessioned2015-12-16T10:59:08Z
dc.date.available2015-12-16T10:59:08Z
dc.date.issued2003
dc.description.abstract-translatedThis paper deals with the automatic segmentation for Czech Concatenative speech synthesis. Statistical approach to speech segmentation using hidden Markov models (HMMs) is applied in the baseline system .Several experiments that concern various issues in the process of building the segmentation system, such as speech parameterization or HMM initialization problems, are described here. An objective comparison of various experimental automatic and manual segmentations is performed to find out the best settings of the segmentation system with respect to our single-female-speaker continuous speech corpus.en
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationMATOUŠEK, JindŘich; TIHELKA, Daniel; PSUTKA, Josef. Experiments with automatic segmentation for czech speech synthesis. In: Text, speech and dialogue. Berlin: Springer, 2003, p. 287-294. (Lecture notes in computer science; 2807). ISBN 3-540-20024-X.en
dc.identifier.isbn3-540-20024-X
dc.identifier.urihttp://www.kky.zcu.cz/cs/publications/MatousekJ_2003_Experimentswith
dc.identifier.urihttp://hdl.handle.net/11025/17028
dc.language.isoenen
dc.publisherSpringeren
dc.relation.ispartofseriesLecture notes in computer science; 2807en
dc.rights© Jindřichich Matoušek - Daniel Tihelka - Josef Psutkacs
dc.rights.accessopenAccessen
dc.subjectsegmentace řeči s využitím HMMcs
dc.subjectparametrizace řečics
dc.subjectkontext závislostics
dc.subjectinicializace HMMcs
dc.subject.translatedHMM-based speech segmentationen
dc.subject.translatedspeech parameterizationen
dc.subject.translatedcontext dependencyen
dc.subject.translatedHMM initializationen
dc.titleExperiments with automatic segmentation for czech speech synthesisen
dc.typečlánekcs
dc.typearticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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