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Related Experiment Videos

Graphical access to medical expert systems: V. Integration with continuous-speech recognition

C E Wulfman1, M Rua, C D Lane

  • 1Department of Medicine, Stanford University School of Medicine, Cal.

Methods of Information in Medicine
|February 1, 1993
PubMed
Summary

This study introduces computer-based clinical record tools using graphics and continuous speech recognition. Window-based graphics effectively control and provide feedback for speech applications with limited vocabularies.

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Area of Science:

  • Medical Informatics
  • Human-Computer Interaction

Background:

  • Commercial speech recognition has accuracy limits for large vocabularies.
  • Complex grammars require partitioning and user-driven grammar selection.
  • Effective user interfaces need feedback on selected grammar scope.

Purpose of the Study:

  • To explore window-based graphics for controlling continuous speech recognition in clinical record systems.
  • To evaluate the effectiveness of graphical interfaces for managing speech application grammars.

Main Methods:

  • Development of three computer-based clinical record-keeping prototypes.
  • Integration of window-based graphics with continuous speech recognition.
  • Experimental evaluation of the prototypes' control and feedback mechanisms.

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Main Results:

  • Window-based graphics effectively provide control and feedback for certain speech applications.
  • The described techniques are suitable for applications with moderately complex grammars.
  • Limitations were observed for applications with highly complex grammars.

Conclusions:

  • Window-based graphics offer a viable solution for managing speech recognition in specific medical record applications.
  • Further research is needed for complex grammar scenarios in continuous speech recognition.