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Speech analysis systems: an evaluation.

C Read1, E H Buder, R D Kent

  • 1University of Wisconsin-Madison.

Journal of Speech and Hearing Research
|April 1, 1992
PubMed
Summary
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This review evaluates seven acoustic speech analysis systems, detailing their components, capabilities, and performance. Recommendations are provided for enhancing future speech analysis software development.

Area of Science:

  • Acoustic Speech Analysis
  • Speech Science Technology

Background:

  • Multiple acoustic speech analysis systems are commercially available, serving diverse research and clinical needs.
  • Evaluating system performance is crucial for selecting appropriate tools for speech research and diagnostics.

Purpose of the Study:

  • To comprehensively review and compare the performance characteristics of seven established acoustic speech analysis systems.
  • To tabulate basic capabilities of three recently introduced systems.
  • To offer recommendations for the future development of speech analysis systems.

Main Methods:

  • Systematic review of system components, basic capabilities (signal acquisition, waveform operations, analysis, data formats, journaling), documentation, and user interface.
  • Evaluation of speed and precision for spectral and fundamental frequency analysis.

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  • Comparative tabulation of capabilities for multiple systems.
  • Main Results:

    • Detailed performance characteristics are presented for CSpeech, CSRE, ILS-PC, Kay Elemetrics 5500 Sona-Graph, MacSpeech Lab II, MSL, and Signalyze.
    • Basic capabilities of Sensimetrics SpeechStation, Kay Elemetrics CSL, and LSI Speech Workstation are summarized.
    • Identified areas for improvement include data exchange, journaling, display features, spectral analysis, and fundamental frequency analysis.

    Conclusions:

    • The study provides a valuable resource for researchers and clinicians selecting acoustic speech analysis tools.
    • Specific recommendations are offered to guide developers in enhancing the functionality and usability of future speech analysis systems.