Optimisation of Neural Network Topology and Input Parameters for Prosody Modelling of Synthetic Speech.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F02%3A06030204" target="_blank" >RIV/67985807:_____/02:06030204 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Optimisation of Neural Network Topology and Input Parameters for Prosody Modelling of Synthetic Speech.
Original language description
We try to investigate methods for extracting knowledge from existing continuous speech databases for optimisation of neural network topology to improve the generalization ability of ANN. The ANN for the modelling of fundamental frequency and duration ofa speech unit for a Text-to-Speech synthesis are trained by natural speech. The principle of synthesizer is based on the concatenation of speech units. We also use speech unit segmentation of a text for prosody modelling.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA102%2F02%2F0124" target="_blank" >GA102/02/0124: Voice technologies for support of information society</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2002
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Recent Advances in Soft Computing.
ISBN
1-84233-0764
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
31-36
Publisher name
Nottingham Trent University
Place of publication
Nottingham
Event location
Nottingham [GB]
Event date
Dec 12, 2002
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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