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Discriminating simulated vocal tremor source using amplitude modulation spectra.

Kathy M Carbonell1, Rosemary A Lester1, Brad H Story1

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Summary
This summary is machine-generated.

Acoustic analysis of vocal tremor can now distinguish between different tremor sources. Spectral measures of the amplitude envelope accurately categorize simulated vocal tremor, aiding in understanding vocal disorder origins.

Keywords:
Acoustic analysisEnvelope modulation spectraVocal tremor

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Area of Science:

  • Speech science
  • Acoustic phonetics
  • Voice disorders

Background:

  • Vocal tremor sources are challenging to classify using traditional perceptual and acoustic methods.
  • Understanding tremor origins is crucial for accurate diagnosis and treatment of voice disorders.

Purpose of the Study:

  • To investigate the potential of spectral measures of the amplitude envelope for discriminating vocal tremor sources.
  • To test the hypothesis that distinct amplitude modulation patterns correlate with different vocal tremor origins.

Main Methods:

  • Simulated vocal tremor signals were generated by altering vocal fold model parameters (respiratory, adductory, F0 tremor).
  • Statistical discriminant function analysis was applied to spectral features of the amplitude envelope.
  • Analyses were performed on the entire signal and within specific frequency bands.

Main Results:

  • Simulated vocal tremor signals were successfully categorized by their source with accuracy significantly above chance.
  • Classification remained effective even when multiple tremor sources were present in the signal.
  • Amplitude envelope spectral measures proved sufficient for source discrimination.

Conclusions:

  • Amplitude envelope spectral analysis offers a promising method for identifying vocal tremor sources.
  • The temporal structure of the amplitude envelope contains valuable information about talker characteristics and voice production.