Flexible use of semantic constraints in speech recognition
Wayne Ward, S. Young · IEEE International Conference on Acoustics Speech and Signal Processing · 1993
A novel recursive transition network speech decoder designed for robust processing of spontaneous spoken input is described. Two levels of stochastic language models are used in the recognition search as well as the rule-based network constraints. The authors describe the basic decoder and system architecture and evaluate the system against a loosely coupled system on spontaneous spoken dialogues from the DARPA Air Travel Information System (ATIS) task.>