Applications that operate in highly dynamic environments must deal with real-time changes of circumstances in order to be consistent and coherent. In this work, we propose an exten...
This paper presents a novel method for training hidden Markov models (HMMs) for use in HMM-based speech synthesis. The primary goal of HMM parameter optimization is to ensure that...
Background: Empirical binding models have previously been investigated for the energetics of protein complexation (G models) and for the influence of mutations on complexation (i....
Computer-based concurrent engineering of products, denoted as Virtual Engineering (VE), is used extensively to meet the requirements of product development. Current research deals...
We are developing tools to support a conversational metaphor for requirements definition and analysis. Our conversational model consists of three components: (1) a hypertextual re...