IMPROVING ON PHRASE SPOTTING FOR SPOKEN DIALOGUE PROCESSING
David Milward, S KNIGHT · 2023
In a typical task oriented dialogue system, the interpretation task consists of mapping from the acoustic input to a series of moves. In the simplest cases each move is just a pairing of slots and values e.g. "destination = paris". In this paper we will describe a system for language interpretation which is designed to work with lattice based output from a class based statistical language model. The work described enables phrase and keyword spotting to be incorporated within a uniform approach which also allows information from higher-level linguistic structure to be used if it is both available and likely to be helpful. The work described here is part of a larger collaborative effort being pursued as part of the EU projects D'Homme [1] and Siridus [2] where one thread of the research is hoping to provide better grounds for some of the choices that need to be made for recogniser language modelling and language processing for a variety of spoken dialogue scenarios