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Optimisation of Artificial Neural Network Topology Applied in the Prosody Control in Text-to-Speech Synthesis

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    0404088 - UIVT-O 20000204 RIV DE eng C - Conference Paper (international conference)
    Šebesta, Václav - Tučková, Jana
    Optimisation of Artificial Neural Network Topology Applied in the Prosody Control in Text-to-Speech Synthesis.
    SOFSEM'2000: Theory and Practice of Informatics. Berlin: Springer, 2000 - (Hlaváč, V.; Jeffery, K.; Wiedermann, J.), s. 420-430. Lecture Notes in Computer Science, 1963. ISBN 3-540-41348-0. ISSN 0302-9743.
    [SOFSEM 2000 /27./. Milovy (CZ), 25.11.2000-01.12.2000]
    R&D Projects: GA AV ČR IAA2030801; GA ČR GV102/96/K087
    Grant - others:COST(XE) 258
    Institutional research plan: AV0Z1030915
    Subject RIV: BA - General Mathematics

    A possible way for the selection of significant input parameters, which are the most important ones from the point of view of influence on the output parameters, is presented. These parameters are later used for the training of ANN. We recognised that the approach based on mathematical logic, i.e. the GUHA method is also suitable for the determination of markers. Besides the minimisation of the number of elements in the input layer of ANN, also the number of neurons in hidden layers must be optimised.
    Permanent Link: http://hdl.handle.net/11104/0124359

     
     

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