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Speech recognition and control system for the severely disabled.

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TLDR
A microprocessor based speech recognition system for the voice control of wheelchair, touch-tone phone, typewriter and environmental control unit, which exhibits less than one percent substitutions and eleven percent rejections with the ten digit set.
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This article is published in Journal of Biomedical Engineering.The article was published on 1980-04-01. It has received 21 citations till now. The article focuses on the topics: Voice activity detection & Speaker recognition.

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Journal ArticleDOI

A speech-controlled environmental control system for people with severe dysarthria.

TL;DR: It is concluded that a speech-controlled ECS is a viable alternative to switch-scanning systems for some people with severe dysarthria and would lead, in many cases, to more efficient control of the home.
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Automatic speech recognition and training for severely dysarthric users of assistive technology: the STARDUST project.

TL;DR: The STARDUST project developed robust computer speech recognizers for use by eight people with severe dysarthria and concomitant physical disability to access assistive technologies by identifying robust phonetic elements within the individual speaker output patterns.
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Speech Recognition as an Input to Electronic Assistive Technology

TL;DR: An overview, based on a review of the research literature and clinical observations, is given of the suitability and performance of speech recognition for computer access in two situations ± for people with no speech problems and forPeople with dysarthria, and case studies are presented as examples.

homeService: Voice-enabled assistive technology in the home using cloud-based automatic speech recognition

TL;DR: A system which will bring personalised state-of-the-art automatic speech recognition into the homes of people who require voice-controlled assistive technology and outline a methodology for this: the ‘Virtuous Circle’.
Journal ArticleDOI

Dynamic Modeling of an Electric Wheelchair

TL;DR: In this paper, the development of a dynamic model for the standard electric wheelchair is described, and a computer simulation of the nonlinear differential equations of motion that resulted was developed, in order to verify the modeling process.
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