Optimisation of Neural Network Topology and Input Parameters for Prosody Modelling of Synthetic Speech.

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F04%3A06030201" target="_blank" >RIV/67985807:_____/04:06030201 - isvavai.cz</a>

Alternative codes found

RIV/68407700:21230/04:03093942

Result on the web

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DOI - Digital Object Identifier

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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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Type

C - Chapter in a specialist book

CEP classification

BB - Applied statistics, operational research

OECD FORD branch

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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)

Publication year

2004

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Book/collection name

Applications and Science in Soft Computing.

ISBN

3-540-40856-8

Number of pages of the result

8

Pages from-to

9-16

Number of pages of the book

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Publisher name

Springer-Verlag

Place of publication

Berlin

UT code for WoS chapter

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