DocumentCode :
3614577
Title :
Sentence boundary detection in Czech TTS system using neural networks
Author :
J. Romportl;D. Tihelka;J. Matousek
Author_Institution :
Dept. of Cybern., West Bohemia Univ., Czech Republic
Volume :
2
fYear :
2003
fDate :
6/25/1905 12:00:00 AM
Firstpage :
247
Abstract :
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.
Keywords :
"Intelligent networks","Speech synthesis","Neural networks","Feedforward neural networks","Parameter extraction","Text processing","Signal processing","Training data","Extrapolation","Context modeling"
Publisher :
ieee
Conference_Titel :
Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on
Print_ISBN :
0-7803-7946-2
Type :
conf
DOI :
10.1109/ISSPA.2003.1224860
Filename :
1224860
Link To Document :
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