The Automatic Extraction of Pitch Perturbation Using Microcomputers Some Methodological Considerations Research Note
Research Note  |   September 01, 1989
The Automatic Extraction of Pitch Perturbation Using Microcomputers
 
Author Affiliations & Notes
  • Jodelle F. Deem
    Memphis State University
  • Walter H. Manning
    Memphis State University
  • Joseph V. Knack
    Memphis State University
  • Joseph S. Matesich
    Memphis State University
Article Information
Research Notes
Research Note   |   September 01, 1989
The Automatic Extraction of Pitch Perturbation Using Microcomputers
Journal of Speech, Language, and Hearing Research, September 1989, Vol. 32, 689-697. doi:10.1044/jshr.3203.689
 
Journal of Speech, Language, and Hearing Research, September 1989, Vol. 32, 689-697. doi:10.1044/jshr.3203.689

A program for the automatic extraction of jitter (PAEJ) was developed for the clinical measurement of pitch perturbations using a microcomputer. The program currently includes 12 implementations of an algorithm for marking the boundary criteria for a fundamental period of vocal fold vibration. The relative sensitivity of these extraction procedures for identifying the pitch period was compared using sine waves. Data obtained to date provide information for each procedure concerning the effects of waveform peakedness and slope, sample duration in cycles, noise level of the analysis system with both direct and tape recorded input, and the influence of interpolation. Zero crossing extraction procedures provided lower jitter values regardless of sine wave frequency or sample duration. The procedures making use of positive- or negative-going zero crossings with interpolation provided the lowest measures of jitter with the sine wave stimuli. Pilot data obtained with normal-speaking adults indicated that jitter measures varied as a function of the speaker, vowel, and sample duration.

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