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Related Experiment Videos

A structured approach to voice range profile (phonetogram) analysis

A M Sulter1, H P Wit, H K Schutte

  • 1Department of Otorhinolaryngology, University Hospital Groningen, The Netherlands.

Journal of Speech and Hearing Research
|October 1, 1994
PubMed
Summary
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A novel method quantitatively analyzes voice range profiles (phonetograms) by assessing shape, area, and speaking range dynamics. This approach enables objective comparison of phonetograms, aiding in establishing normative data for diverse groups.

Area of Science:

  • Speech and Hearing Sciences
  • Acoustic Analysis
  • Voice Disorders

Background:

  • Voice range profiles (phonetograms) are crucial for assessing vocal function.
  • Current analysis methods may distort phonetogram shape or lack objective comparison metrics.
  • Quantitative feature extraction is needed for standardized phonetogram analysis.

Purpose of the Study:

  • To introduce a new structured method for analyzing voice range profiles (phonetograms).
  • To quantitatively determine key phonetogram features: shape, area, and speaking range dynamics.
  • To enable objective and comparable analysis of phonetograms, independent of fundamental frequency.

Main Methods:

  • Developed a structured analysis framework for phonetograms.
  • Quantitatively determined phonetogram features including shape, area, and speaking range dynamics.

Related Experiment Videos

  • Calculated feature parameter sets independently of fundamental frequency for cross-phonetogram comparability.

    • Main Results:

    • The method allows for distortion-free quantitative assessment of phonetogram features.
    • Independent calculation of parameters enables direct comparison between different phonetograms.
    • Demonstrated the method's utility with normal and pathological voice examples.

    Conclusions:

    • The proposed method offers a robust tool for analyzing voice range profiles.
    • Enables objective comparison of phonetograms, facilitating clinical and research applications.
    • Provides a foundation for establishing normative voice data across different populations.