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Related Experiment Videos

Detection of laryngeal function using speech and electroglottographic data.

D G Childers1, K S Bae

  • 1Department of Electrical Engineering, University of Florida, Gainesville 32611.

IEEE Transactions on Bio-Medical Engineering
|January 1, 1992
PubMed
Summary
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This study developed new methods for assessing laryngeal function using speech and electroglottography (EGG). These techniques show promise in detecting voice disorders by analyzing vocal fold vibration patterns.

Area of Science:

  • Biomedical Engineering
  • Speech Science
  • Otolaryngology

Background:

  • Laryngeal function assessment is crucial for diagnosing voice disorders.
  • Quantitative measures are needed for objective evaluation of laryngeal pathology.
  • Speech and electroglottography (EGG) signals offer potential data sources.

Purpose of the Study:

  • To develop quantitative measures for assessing laryngeal function.
  • To create procedures for detecting laryngeal pathology using speech and EGG data.
  • To evaluate the efficacy of novel spectral distortion and EGG signal analysis methods.

Main Methods:

  • Developed a spectral distortion measure using linear predictive coding (LPC) vectors and vector quantization (VQ).
  • Analyzed electroglottographic (EGG) signals using time interval and amplitude difference measures.

Related Experiment Videos

  • Applied threshold-based procedures to differentiate pathological and normal voices.

    • Main Results:

    • The VQ procedure aimed to bypass complex glottal waveform estimation.
    • The EGG procedure provided a near-direct measure of vocal fold vibration.
    • Pathological detection probabilities were 75.9% (spectral distortion) and 69.0% (EGG).
    • False alarm probability for normal subjects was 9.6%.

    Conclusions:

    • Quantitative speech and EGG analysis can aid in laryngeal pathology detection.
    • The developed methods offer potential for objective laryngeal function assessment.
    • Further research may refine these techniques for clinical application.