Interspeech'2005 - Eurospeech

Lisbon, Portugal
September 4-8, 2005

Integrating Denotational Meaning into a DBN Language Model

William Schuler, Tim Miller

University of Minnesota, USA

This paper describes a dynamic Bayes net (DBN) language model which allows recognition decisions to be conditioned on features of entities in some environment, to which hypothesized directives might refer. The accuracy of this model is then evaluated on spoken directives in various domains.

Full Paper

Bibliographic reference.  Schuler, William / Miller, Tim (2005): "Integrating denotational meaning into a DBN language model", In INTERSPEECH-2005, 901-904.