In this paper a decoder for continuous speech recognition using stochastic context-free grammars is described. It forms the backbone of the ACE recognizer, which is a modular system for real-time speech recognition. A new rationale for automata is introduced, as well as a new model for pruning the search space.
Cite as: Seward, A. (2000) A tree-trellis n-best decoder for stochastic context-free grammars. Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000), vol. 4, 282-285
@inproceedings{seward00_icslp,
author={Alexander Seward},
title={{A tree-trellis n-best decoder for stochastic context-free grammars}},
year=2000,
booktitle={Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000)},
pages={vol. 4, 282-285}
}