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Papers in Phonetics and Speech Processing

SYSNO ASEP	0403694
Document Type	M - Monograph Chapter
R&D Document Type	Monograph Chapter
Title	Optimization of Input Data for Fundamental Frequency Modelling by Neural Networks
Author(s)	Tučková, Jana (URE-Y) Šebesta, Václav (UIVT-O)_{SAI, RID}
Source Title	Papers in Phonetics and Speech Processing / Palková Z. ; Wodarz H.W.. - Frankfurt am Main : Hector, 2000 - ISSN 0341-3144 - ISBN 3-930110-18-0
Pages	s. 161-175
Number of pages	15 s.
Language	eng - English
Country	DE - Germany
Subject RIV	BA - General Mathematics
R&D Projects	GA102/96/K087 GA ČR - Czech Science Foundation (CSF)
	IAA2030801 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR)
CEZ	1030915
Annotation	A speech signal synthesis in real time, with a nonlimited vocabulary is very complicated for all languages. These synthesizers usually work in the frequency domain and the fundamental frequency contours F0 must be determined for all phonemes or diphones by conventional equipment based on linguistic rules (Tučková, Vích 1997). Our effort is to minimize the difference between the synthetic speech of the synthesizer, which is usually more monotonous, and the natural speech of people...
Workplace	Institute of Computer Science
Contact	Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800

Number of the records: 1