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Automatic speech recognition for disabled people.

J M Noyes1, R Haigh, A F Starr

  • 1Department of Psychology, University of Bristol, UK.

Applied Ergonomics
|December 1, 1989
PubMed
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Speech recognition technology can significantly aid disabled individuals, but development is hindered by a lack of human factors research. Improving the reliability of speech recognizers is crucial for their integration into daily life.

Area of Science:

  • Assistive Technology
  • Human-Computer Interaction
  • Speech Recognition

Background:

  • Speech recognition technology offers promising applications for assisting handicapped individuals.
  • Recent advancements have improved automatic speech recognizer performance.
  • Current technology is evaluated against the needs of the disabled population.

Purpose of the Study:

  • To review recent developments in automatic speech recognition (ASR).
  • To assess ASR applications for the disabled, including voice-controlled robotic arms and environmental control units.
  • To identify barriers impeding the development of ASR for disabled users.

Main Methods:

  • Review of recent research in automatic speech recognition.
  • Discussion of current ASR technology in relation to disabled population needs.

Related Experiment Videos

  • Description and evaluation of a Voice Activated Domestic Appliance System (VADAS).

    • Main Results:

    • ASR applications for disabled individuals are feasible with current technology.
    • Voice control of robotic arms and environmental control units are key research areas.
    • The Voice Activated Domestic Appliance System (VADAS) evaluation is complete.

    Conclusions:

    • The primary impediment to ASR development for the disabled is a lack of human factors work.
    • Increased reliability of speech recognizers is essential for user confidence.
    • Further human factors research is needed to integrate ASR into the lives of disabled people.