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dc.contributor.authorRomportl, Jan
dc.contributor.authorTihelka, Daniel
dc.contributor.authorMatoušek, Jindřich
dc.date.accessioned2015-12-14T12:57:49Z
dc.date.available2015-12-14T12:57:49Z
dc.date.issued2003
dc.identifier.citationROMPORTL, Jan; TIHELKA, Daniel; MATOUŠEK, Jindřich. Sentence boundary detection in czech TTS system using neural networks. In: Proceeding of the 7th International Symposium on Signal Processing and its Applications (ISSPA). Paris: IEEE Press, 2003, p. 247-250. ISBN 0-7803-7946-2.en
dc.identifier.isbn0-7803-7946-2
dc.identifier.urihttp://www.kky.zcu.cz/cs/publications/RomportlJ_2003_SentenceBoundary
dc.identifier.urihttp://hdl.handle.net/11025/16994
dc.format4 s.
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherIEEE Pressen
dc.rights© Jan Romportl - Daniel Tihelka - Jindřich Matoušekcs
dc.subjectneuronové sítěcs
dc.subjectzpracování textucs
dc.subjectsyntéza řečics
dc.titleSentence boundary detection in czech TTS system using neural networksen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThis paper proposes results of an application of a neural network on the problem of deciding whether a certain punctuation mark in Czech text is or is not the end of a sentence. It also discusses possibilities of using methods for relevant parameters extraction and compares a neural network based method with a Bayes classifier and a heuristic classifier.en
dc.subject.translatedneural networksen
dc.subject.translatedtext processingen
dc.subject.translatedspeech synthesisen
dc.type.statusPeer-revieweden
Appears in Collections:Články / Articles (MMI)
Články / Articles (KKY)
Články / Articles (NTIS)
Články / Articles (KIV)

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