Modeling human perceptions of natural language timing (NLT)

Natural language timing (NLT) is a complex human attribute and an integral part of complex human activities. To effectively participate in real time interactive voice to voice communication, intelligent systems must acquire this complex attribute. The human perceptual diversity in interpretation of NLT was hardly a source of technical concern until recent trends in communication technology. The problem addressed deals with how the human perceptual differences can be modeled for subsequent integration into intelligent human-machine systems, using the Fuzzy Logic System (FLS)