A versatile speaker-dependent continuous speech understanding system

摘要

A description of a speaker-dependent continuous speech understanding system is given. An unknown utterance is recognized by means of the following procedures: acoustic analysis, phonetic segmentation and identification, word and sentence analysis. This new system is an extension of the KEAL system, connected to ALOEMDA, an active chart parser modifying its strategy and linguistic capabilities, and to a dialogue manager. A speaker adaptation module allows to adjust some of the system parameters by matching known utterances with their acoustical representation. The task to be performed, described by its vocabulary and its grammar, is given as a parameter of the system. The new configuration is under test and first results are given. Continuously spoken sentences extracted from a 'pseudo-LOGO' language are analysed with two different linguistic modules and recognition figures are presented. Another understanding task is described: the dialogue-driven interrogation of a small data base.