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Related Experiment Videos

Voice reaction times with recognition for Commodore computers.

D A Washburn1, R T Putney

  • 1Georgia State University, Atlanta.

Behavior Research Methods, Instruments, & Computers : a Journal of the Psychonomic Society, Inc
|January 1, 1990
PubMed
Summary
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This study details hardware and software upgrades for Commodore computers, enabling accurate voice response collection and analysis. The system achieves millisecond timing for automated scoring in various experiments.

Area of Science:

  • Computer Science
  • Speech Recognition Technology
  • Human-Computer Interaction

Background:

  • Traditional methods for collecting spoken responses can be labor-intensive and lack precise timing.
  • The need for automated, accurate analysis of vocal data in experimental settings is growing.

Purpose of the Study:

  • To present hardware and software modifications enabling a Commodore computer to collect and recognize spoken responses.
  • To introduce a system capable of millisecond-accurate response timing and automated analysis.
  • To evaluate the accuracy of this system through experimental data.

Main Methods:

  • Development of specialized hardware and software for voice data acquisition.
  • Integration with a Commodore computer for real-time processing.
Keywords:
NASA Discipline Number 00-00NASA Discipline Number 06-10NASA Discipline Space Human FactorsNon-NASA Center

Related Experiment Videos

  • Implementation of algorithms for automatic analysis and scoring of spoken responses.
  • Conducting several experiments to gather accuracy data.

    • Main Results:

    • Demonstrated the feasibility of using modified Commodore hardware for spoken response collection.
    • Achieved millisecond accuracy in response timing.
    • Presented experimental data validating the system's performance.
    • Identified potential applications and areas for accuracy improvement.

    Conclusions:

    • The developed system offers a viable solution for automated spoken response analysis on legacy computer systems.
    • The approach allows for precise temporal measurement of vocalizations.
    • Further research can enhance recognition accuracy and expand application scope.