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Prosody Optimisation of a Czech Language Synthesizer
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SYSNO ASEP 0313377 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Prosody Optimisation of a Czech Language Synthesizer Title Optimalizace prosodie v syntetizátoru češtiny Author(s) Tučková, J. (CZ)
Šebesta, Václav (UIVT-O) SAI, RIDSource Title Neural Network World. - : Ústav informatiky AV ČR, v. v. i. - ISSN 1210-0552
Roč. 18, č. 4 (2008), s. 291-308Number of pages 18 s. Language eng - English Country CZ - Czech Republic Keywords neuronové sítě ; syntéza řeči ; modelování prosodie ; metoda GUHA ; klestění Subject RIV IN - Informatics, Computer Science R&D Projects GA102/05/0278 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z10300504 - UIVT-O (2005-2011) UT WOS 000260159400003 EID SCOPUS 54849404176 Annotation Each national language is described by specific grammatical rules. But rule-based knowledge representations alone cannot be used for the natural flow of speech. In this paper, optimisation of the naturalness of speech, i.e. the optimal choice of phonetic and phonologic parameters for prosody modelling is sought. We will try to find relevant features (speech parameters) having the basic influence on the fundamental frequency and duration of speech units. If the prosody of the synthesizer is controlled by an artificial neural network (ANN), optimisation of the ANN topology is necessary. The topology of the ANN is also dependent on the number of input neurons which represent the most important speech parameters. The pruning of the ANN based on the several approaches (GUHA method, sensitivities of the synaptic weights, etc.) is a suitable tool for reducing the ANN structure. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2009
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