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Using windowed relative deviation to detect possible voice pathology.

J Brandon Laflen1, Cathy L Lazarus, Milan R Amin

  • 1Fac. of Otolaryngology, Physiol. & Neurosci., & Math., New York Univ., NY 10016, USA. j.brandon.laflen@ieee.org

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|October 20, 2007
PubMed
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This study introduces a new method for analyzing vocal pitch jitter during running speech, improving voice pathology detection in patients unable to perform sustained phonation tasks.

Area of Science:

  • Speech Science
  • Medical Diagnostics
  • Acoustic Analysis

Background:

  • Traditional pitch jitter analysis relies on sustained vowel phonation, which can miss certain voice pathologies.
  • This method is not feasible for all patient groups, such as pediatric populations.
  • Existing methods may fail to detect subtle voice impairments.

Purpose of the Study:

  • To develop and validate a novel method for analyzing pitch jitter in running speech.
  • To overcome limitations of traditional sustained phonation methods for voice pathology detection.
  • To provide a more accessible and comprehensive approach to voice analysis.

Main Methods:

  • The proposed method analyzes instantaneous pitch jitter using windowed relative deviation during running speech.

Related Experiment Videos

  • The analysis window width is dynamically adjusted based on the rate of pitch deviation, offering selectivity.
  • The method was applied to voice recordings from both a healthy adult and an adult with a known voice pathology.

    • Main Results:

    • Normal speakers demonstrated less than 1% pitch deviation in speech segments resembling sustained phonation.
    • The speaker with a voice pathology exhibited over 10% pitch deviation at quasi-periodic intervals.
    • The windowed relative deviation method successfully differentiated between normal and pathological voice productions.

    Conclusions:

    • Windowed relative deviation offers a robust method for analyzing pitch jitter in running speech.
    • This technique enhances the detection of voice pathologies, particularly in cases where sustained phonation is not possible.
    • The method provides a more sensitive and versatile tool for clinical voice assessment.