The examination scheduling problem has been examined and a four-phase system using a tabu search algorithm, OTTABU, has been implemented. This system uses both recency-based short-term memory and move (or frequency)-based longer-term memory to improve the quality of the solutions found. The system was tested using real data obtained from the University of… (More)
Automatic speech recognition technology will soon allow users to converse with their computers. This paper describes an approach to improve the human interface through speech recognition; describes how our research benefits the DARPA Spoken Language Research program; and describes some research results in the area of merging Hidden Markov Models (HMM), and… (More)
The current literature of information systems has dealt extensively with all kinds of exceptions. There are several studies defining the concept of exception and even providing classifications. However, no studies provide a method for verifying the rules in order to handle exceptions and to achieve the goals set by an organization's rules. In this paper, a… (More)
Natural language understanding must be an integral part of any automatic speech recognition system that attempts to deal with interactive problem solving. The methods for representing and integrating knowledge from different sources may be valuable for the understanding process as well as speech recognition.
In this paper we present an experiment addressing a critical issue in Voice User Interface (VUI) design, namely whether the user acceptance can be improved by having recorded voice prompts imitate his/her regional dialect. The claim was tested within a project aiming to develop voice animated virtual help desk assistants for intelligent mobile phone… (More)