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Related Experiment Videos

Electroglottogram waveform types of untrained speakers.

C Painter1

  • 1Department of Otolaryngology, Washington University School of Medicine, St. Louis, MO 63110.

European Archives of Oto-Rhino-Laryngology : Official Journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : Affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
|January 1, 1990
PubMed
Summary

Electroglottography (EGG) provides insights into vocal fold function. This study compared EGG waveforms from a professional voice user to untrained individuals, highlighting differences in vocal fold characteristics.

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European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery·1991

Area of Science:

  • Laryngology and Voice Science
  • Bioacoustics and Speech Production

Background:

  • Electroglottography (EGG) is a valuable non-invasive method for assessing vocal fold dysfunction.
  • Clinical utility of EGG necessitates normative data on electroglottogram (EGG) waveform types across diverse speaker populations.
  • Existing research lacks comprehensive waveform characterization for different speaker groups.

Purpose of the Study:

  • To compare electroglottogram waveform types between a trained professional voice user and untrained non-professional speakers.
  • To investigate the influence of fundamental frequency, intensity, and voice quality on EGG waveforms in a professional voice user.

Main Methods:

  • Electroglottography was employed to record vocal fold vibration.
  • Waveform data were collected from one trained professional voice user across 15 experimental sessions.

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  • Phonation was performed under varying fundamental frequencies, intensities, and voice qualities.
  • EGG waveforms were compared to those from a cohort of 52 untrained non-professional speakers.

    • Main Results:

    • Distinct electroglottogram waveform types were identified.
    • Significant differences were observed in EGG waveforms between the trained professional voice user and untrained speakers.
    • Vocal fold characteristics, as reflected in EGG waveforms, varied with phonation parameters in the professional voice user.

    Conclusions:

    • Electroglottography can differentiate between trained and untrained voice users.
    • Normative EGG waveform data are crucial for establishing clinical assessment standards.
    • Further research is needed to fully characterize EGG waveforms for various speaker demographics and vocal tasks.