Lattice Parsing for Speech Recognition
Jean-Cédric Chappelier, Martin Rajman, Ramon Aragües, Antoine Rozenknop
Abstract : A lot of work remains to be done in the domain of a better integration of speech recognition and language processing systems. This paper gives an overview of several strategies for integrating linguistic models into speech understanding systems and investigates several ways of producing sets of hypotheses that include more “semantic” variability than usual language models. The main goal is to present and demonstrate by actual experiments that sequential couplingmay be efficiently achieved byword-lattice syntactic analyzers, efficiently parsing the huge number of hypothesis (i.e. possible sentences) contained in the lattice produced by the speech recognizer.
Keywords : lattice parsing, speech recognition, syntactic processing