Title: Sentence boundary detection in czech TTS system using neural networks
Authors: Romportl, Jan
Tihelka, Daniel
Matoušek, Jindřich
Citation: ROMPORTL, Jan; TIHELKA, Daniel; MATOUĹ EK, JindĹ™ich. 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.
Issue Date: 2003
Publisher: IEEE Press
Document type: článek
URI: http://www.kky.zcu.cz/cs/publications/RomportlJ_2003_SentenceBoundary
ISBN: 0-7803-7946-2
Keywords: neuronovĂ© sĂ­tÄ›;zpracovánĂ­ textu;syntĂ©za Ĺ™eÄŤi
Keywords in different language: neural networks;text processing;speech synthesis
Abstract in different language: This 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.
Rights: Â© Jan Romportl - Daniel Tihelka - JindĹ™ich Matoušek
Appears in Collections:Články / Articles (MMI)
Články / Articles (KKY)
Články / Articles (NTIS)
Články / Articles (KIV)

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/16994

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