Context Use to Improve the Speech understanding Processing

International audienceWe developed an environment for speech understanding, based on a stochastic representation of conceptual entities. The conceptual segmentation can be performed with the Viterbi or A* algorithms. The aim of this paper is to propose a model of contextual knowledge to improve the speech understanding process. We will focus on the context provided by the system prompt and the dialogue history. We argue that the context could help the prediction of the conceptual segmentation of the utterance. So results obtained on understanding error rate and running time with and without contextual knowledge are discussed