||Training of the Semantic Model for a Speech Understanding Graphic Editor
||Janez Kaiser, Johannes Müller, Holger Stahl
||Scientific Conference Paper
||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.
||Proceedings ERK'95 - 4th Conference on Electronics and Computer Science (Portoroz, Slovenia, 1995), Section IEEE, vol. B, pp. 285-288
|| Scientific Conference Paper as pdf file