A survey of research on spoken language understanding is presented. It covers aspects of
knowledge representation, automatic interpretation strategies, semantic grammars …

In this paper, an extension of the 2-level stochastic understanding system is presented. An
additional stochastic level is introduced in the system as the attribute value normalization …

Recognition errors made by automatic speech recognition (ASR) systems may not prevent
the development of useful dialogue applications if the interpretation strategy has an …

The aim of the study was to determine the influence of textual feedback on the content and
outcome of spoken interaction with a natural language dialogue system. More specifically …

Human-computer conversations have attracted a great deal of interest especially in virtual
worlds. In fact, research gave rise to spoken dialogue systems by taking advantage of …

We have developed a method to determine whether a user utterance is directed at the
system or not. A spoken dialogue system should not respond to audio inputs that are not …

This paper details a method for taking into account variability influence in HMM-based
speech recognition. The set of Gaussian components of the mixtures represents the entire …

This paper discusses an integrated spoken language understanding method using a
statistical translation model from words to semantic concepts. The translation model is an N …

Verification of Speech Recognition Results Incorporating In-domain Confidence and Discourse
Coherence Measures Page 1 IEICE TRANS. INF. & SYST., VOL.E89–D, NO.3 MARCH 2006 …

This paper analyzes different ways of introducing the pitch frequency and a voicing
parameter into speaker-independent speech recognition systems in order to check if their …