First International Conference on Spoken Language Processing (ICSLP 90)

Kobe, Japan
November 18-22, 1990

Gap-filling LR Parsing for Noisy Spoken Input: Towards Interactive Speech Recognition

Hiroaki Saito

Center for Machine Translation, Carnegie Mellon University, Pittsburgh, PA, USA

This paper introduces the new parsing technique "gap-filling LR parsing." This technique enhances the robustness of the generalized LR parsing and is very useful in speech recognition in that the parser can skip the very noisy part of the input The unidentified portion is resolved by the re-utterance of that portion by the speaker, which is parsed very efficiently by using the parse record of the first utterance. Experiments in parsing Japanese spoken! input show the significant effectiveness of this interactive approach.

Full Paper

Bibliographic reference.  Saito, Hiroaki (1990): "Gap-filling LR parsing for noisy spoken input: towards interactive speech recognition", In ICSLP-1990, 909-912.