Training of the Semantic Model for a Speech Understanding Graphic Editor

Title Training of the Semantic Model for a Speech Understanding Graphic Editor
Authors Janez Kaiser, Johannes Müller, Holger Stahl
Type Scientific Conference Paper
Abstract In this paper, an algorithm for the training of the semantic model and the addition of floor values into the semantic model for a speech controlled graphic editor is presented. The speech understanding module of the graphic editor uses a grammar, consisting of two stochastic knowledge bases: the semantic model and the syntactic model. Within a 'top-down' strategy, the semantic model generates semantic structures, which are semantic representations close to the word level, with the respective probabilities.
Reference Proceedings ERK'95 - 4th Conference on Electronics and Computer Science (Portoroz, Slovenia, 1995), Section IEEE, vol. B, pp. 285-288
Year 1995
Language English
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