Hierarchical models for rescoring graphs vs. full integration

Abstract

In this work, we explore the integration of hierarchical Language Models (HLMs) in different modules of a Spoken Dialog System. First of all, HLMs are integrated into the Automatic Speech Recognition system. In order to carry out this integration, within the recognition process, finite-state machines were considered. This approach was compared to a two step decoding process in which HLMs are used to rescore a graph. Then, HLMs were also used for Language Understanding (LU) purposes. Two architectures were compared theoretically and empirically in both ASR and LU modules. © Springer-Verlag 2013.