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The automatic extraction of pitch perturbation using microcomputers: some methodological considerations.

J F Deem¹, W H Manning, J V Knack

¹Memphis State University.

Journal of Speech and Hearing Research

|September 1, 1989

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A new program for automatic jitter extraction (PAEJ) was developed for clinical pitch perturbation measurement. Zero-crossing methods with interpolation yielded the lowest jitter, showing promise for voice analysis.

Area of Science:

Speech Science
Acoustic Analysis
Voice Disorders

Background:

Accurate measurement of vocal fold vibration perturbations (jitter) is crucial for clinical voice assessment.
Existing methods for automatic jitter extraction have varying sensitivities and are influenced by multiple factors.
Development of robust algorithms for fundamental period extraction is needed for reliable jitter analysis.

Purpose of the Study:

To develop a program for automatic extraction of jitter (PAEJ) for clinical pitch perturbation measurement.
To compare the relative sensitivity of 12 different algorithms for fundamental period extraction.
To evaluate the influence of waveform characteristics, noise, and interpolation on jitter measurement accuracy.

Main Methods:

A microcomputer-based program (PAEJ) was created with 12 algorithms for fundamental period boundary criteria.

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Sine waves were used to compare the sensitivity of extraction procedures regarding waveform peakedness, slope, duration, and noise.

Pilot data were collected from normal-speaking adults to assess jitter variability.

Main Results:

Zero-crossing extraction procedures consistently yielded lower jitter values across different sine wave frequencies and sample durations.
Procedures utilizing positive- or negative-going zero crossings with interpolation demonstrated the lowest jitter measures with sine wave stimuli.
Pilot data indicated that jitter measures in normal speakers varied based on speaker, vowel, and sample duration.

Conclusions:

The developed PAEJ program offers multiple algorithms for jitter analysis, with zero-crossing methods showing superior performance.
Interpolation techniques combined with zero-crossing detection appear most effective for minimizing jitter measurements in controlled stimuli.
Further research is needed to validate these findings in clinical populations and refine parameters for optimal voice analysis.