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Speech processing and synthesis for assessing vocal disorders.

D G Childers1

  • 1Dept. of Electr. Eng., Florida Univ., Gainesville, FL.

IEEE Engineering in Medicine and Biology Magazine : the Quarterly Magazine of the Engineering in Medicine & Biology Society
|January 1, 1990
PubMed
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This study details methods for quantitatively assessing vocal disorders using speech synthesis and electroglottography (EGG). It explores characterizing EGG waveforms and vocal quality via acoustic and EGG signal features for improved diagnosis.

Area of Science:

  • Speech Science
  • Biomedical Engineering
  • Otohinolaryngology

Background:

  • Vocal disorders require accurate quantitative assessment for effective diagnosis and treatment.
  • Existing methods for vocal disorder classification have limitations in precision and scope.
  • Speech synthesis and electroglottography (EGG) offer potential for advanced vocal analysis.

Purpose of the Study:

  • To describe techniques for the quantitative assessment and classification of vocal disorders.
  • To examine models for vocal disorders utilizing speech synthesis.
  • To discuss methods for characterizing electroglottography (EGG) waveforms and assessing vocal quality.

Main Methods:

  • Quantitative analysis of speech signals.
  • Development and application of speech synthesis models for simulating vocal disorders.

Related Experiment Videos

  • Characterization of electroglottography (EGG) waveforms.
  • Feature extraction from acoustic and EGG signals for vocal quality assessment.

    • Main Results:

    • Established techniques for quantitative assessment of vocal disorders.
    • Demonstrated utility of speech synthesis models in studying vocal pathologies.
    • Identified key features in acoustic and EGG signals for vocal quality evaluation.

    Conclusions:

    • The described techniques provide a framework for objective vocal disorder assessment.
    • Speech synthesis and EGG signal analysis are valuable tools for understanding and classifying vocal disorders.
    • Further research can refine these methods for clinical application.