Can a tool user sense “Moment of Inertia”? A human factors engineering study : Zahner, C.M., and Kaminaka, M.S. American Society of Agricultural Engineers, St Joseph, Michigan, USA, Paper No 82-1613, 1982, 13 pp
- Publisher
- Elsevier Science
- Year
- 1984
- Tongue
- English
- Weight
- 154 KB
- Volume
- 15
- Category
- Article
- ISSN
- 0003-6870
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✦ Synopsis
in diction between training and task; the representation of variability in diction by storing repeated examples of each utterance separately, instead of using a simple statistical average; and the construction of an adaptive algorithm which updates its templates at appropriate moments. The results of empirical investigations with the adaptive algorithm show a very considerable improvement in performance. They argue that the development of speech recognisers has given the hardware undue attention, and that a rigorous attack on adaptive recognition, treated as a problem in control theory, would lead to a sophisticated interface to complement sophisticated hardware. The system the authors describe has been successfully used in an experimental voice-operated text-editing system (Morrison and Green, 1982).