This paper describes a task-oriented speech dialogue system based on spontaneous speech understanding and response generation (TOSBURG). The system has been developed for a fast food ordering task using speaker-independent keyword-based spontaneous speech understanding. Its purpose being to understand the user's intention from spontaneous speech, the system consists of a noise-robust keyword-spotter, a semantic keyword lattice parser, a user-initiated dialogue manager and a multimodal response generator. After noise immunity keyword-spotting is performed, the spotted keyword candidates are analyzed by a keyword lattice parser to extract the semantic content of the input speech. Then, referring to the dialogue history and context, the dialogue manager interprets the semantic content of the input speech. In cases where the interpretation is ambiguous or uncertain, the dialogue manager invites the user to confirm verbally the system's understanding of the speech input. The system's response to the user throughout the dialogue is multimodal; that is, several modes of communication (synthesized speech, text, animated facial expressions and ordered food items) are used to convey the system's state to the user. The object here is to emulate the multimodal interaction that occurs between humans, and so achieve more natural and efficient human-computer interaction. The real-time dialogue system has been constructed using two general purpose workstations and four DSP accelerators (520MFLOPS). Experimental results have shown the effectiveness of the newly developed speech dialogue system.

A conflict detection support method for combining additional telecommunication services with existing services is proposed. In this method, telecommunication services are described by the STR (State Transition Rule) method which specifies a set of state transition rules. Though conflict detection in the past depended on manual analysis by the designer, with this method, conflict candidates are mechanically narrowed down and indicated to the designer. All conflicts between five actual telecommunication service descriptions are detected in an experiment using a system developed in line with the proposed method.

This paper surveys modeling techniques for telephone call control based on a Finite State Machine (FSM) concept, and studies model simplification techniques. First, the basic concept and fundamental issues of call control modeling are described. Then, based on the analysis of layered call control configuration, it is clarified that the call control machine decomposition within the two-party service control layer has the effect of reducing the apparent size of each mate's machine. Using this effect, guidelines for call control modeling are derived, by which multiple services can be modeled independently. Finally implementation techniques and a few examples of application will be presented.

As the size and complexity of network increases, the distributed systems management (DSM) will be vital in order to improve the availability of network management, to reduce the complexity of network operations, and to provide the high reliability. In this paper, we (1) describe general requirements required for systems management in distributed environment, (2) introduce the basic structure of distributed network management system (DNMS) for efficient network management, and also especially illustrate the concrete design of system management application process which is an important element among them, (3) propose the connectionless CMIP to accomplish for effectively managing the distributed management system, and indicate its efficiency; this protocol is available to manage dynamically changing DSM environment, to negotiate among the managing systems, to handle the dynamic informations etc. Finally, (4) the behavior and software structure of a suggested management system during negotiation to execute the received request for implementation are presented.