TAILIEUCHUNG - Báo cáo khoa học: "VOCAL INTEILFACE FOR A MAN-MACHINE DIALOG "

We describe a dialogue-handling module used as an interface between a vocal terminal and a taskoriented device (for instance : a robot manipulating blocks). This module has been specially designed to be implanted on a single board using microprocessor, and inserted into the vocal terminal which already comprises a speech recognition board and a synthesis board. The entire vocal system is at present capable of conducting a real time spoken dialogue with its user. | VOCAL INTERFACE FOR A MAN-MACHINE DIALOG Dominique BEROULE LIMSI CNRS . 30 91406 ORSAY CEDEX FRANCE ABSTRACT We describe a dialogue-handling module used as an interface between a vocal terminal and a task-oriented device for instance a robot manipulating blocks . This module has been specially designed to be implanted on a single board using microprocessor and inserted into the vocal terminal which already comprises a speech recognition board and a synthesis board. The entire vocal system is at present capable of conducting a real time spoken dialogue with its user. I INTRODUCTION A great deal of interest is actually being shown in providing computer interfaces through dialog processing systems using speech input and output Levinson and Shipley 1979 . In the same time the amelioration of the microprocessor technology has allowed the implantation of word recognition and text-to-speech synthesis systems on single boards Liénard and Mariani 1982 Gauvain 1983 Asta and Liénard 1979 in our laboratory such modules have been integrated into a compact unit that forms an autonomous vocal processor which has applications in a number of varied domains vocal command of cars of planes office automation and computer-aided learning Néel et al. 1982 . Whereas most of the present language understanding systems require large computational resources our goal has been to implement a dialoghandling board in the LIMSI s Vocal Terminal. The use of micro-systems introduces memory size and real-time constraints which have incited us to limit ourselves in the use of presently available computational linguistic techniques. Therefore we have taken inspiration from a simple model of semantic network for the same reasons the initial parser based on an Augmented Transition Network Woods 1970 and implemented on an IBM 370 Memmi and Mariani 1982 was replaced by another less time- and memory-consuming one. The work presented herein extends possible application fields by allowing an interactive .

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