This thesis discusses the use of situation knowledge as a means to enhance the recognition performance of commercially available automatic speech recognizers. A cognitive model of the ATC controller is proposed that continuously observes the present situation and generates a prediction of the sentences the controller is most likely to say. The prediction is made available to the speech recognizer which thus gains a basic form of situation knowledge. The results of an experimental evaluation of this approach in an ATC simulator are discussed. The results indicate the the recognition error rate can be reduced by as much as 50 percent.      «

This thesis discusses the use of situation knowledge as a means to enhance the recognition performance of commercially available automatic speech recognizers. A cognitive model of the ATC controller is proposed that continuously observes the present situation and generates a prediction of the sentences the controller is most likely to say. The prediction is made available to the speech recognizer which thus gains a basic form of situation knowledge. The results of an experimental evaluation of...     »