Flexible use of semantic constraints in speech recognition

Authors:
Wayne Ward;Sheryl Young
Affiliations:
School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania;School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania
Venue:
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
Year:
1993

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Abstract

This paper describes a novel Recursive Transition Network speech decoder designed for robust processing of spontaneous spoken input. Two levels of stochastic language models are used in the recognition search as well as the rule-based network constraints. We describe the basic decoder and system architecture and evaluate the system against a loosely coupled system on spontaneous spoken dialogs from the DARPA air travel (ATIS) task.