Natural language with discrete speech as a mode for human-to-machine

Authors:
Alan W. Biermann;Robert D. Rodman;David C. Rubin;J. Francis Heidlage
Affiliations:
Department of Computer Science, Duke University, Durham, NC;Department of Computer Science, North Carolina State University, Raleigh. NC;Department of Psychology, Duke University, Durham, NC;Department of Psychology, Duke University, Durham, NC
Venue:
Communications of the ACM
Year:
1985

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Abstract

A voice interactive natural language system, which allows users to solve problems with spoken English commands, has been constructed. The system utilizes a commercially available discrete speech recognizer which requires that each word be followed by approximately a 300 millisecond pause. In a test of the system, subjects were able to learn its use after about two hours of training. The system correctly processed about 77 percent of the over 6000 input sentences spoken in problem-solving sessions. Subjects spoke at the rate of about three sentences per minute and were able to effectively use the system to complete the given tasks. Subjects found the system relatively easy to learn and use, and gave a generally positive report of their experience.