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An adaptive method for tracking voicing irregularities.

Y Qi1, T Shipp

  • 1Department of Speech and Hearing Sciences, University of Arizona, Tucson 85721.

The Journal of the Acoustical Society of America
|June 1, 1992
PubMed
Summary
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This study introduces a novel method using adaptive Wiener filtering to detect voice irregularities. The technique successfully distinguishes normal from abnormal voices and tracks subtle acoustic changes in real-time.

Area of Science:

  • Acoustic analysis
  • Voice production
  • Signal processing

Background:

  • Voice irregularities can significantly impact communication.
  • Current methods may struggle with nonstationary voice abnormalities.
  • Accurate voice analysis is crucial for diagnosing and treating vocal disorders.

Purpose of the Study:

  • To develop and evaluate a new method for tracking acoustic waveform irregularities in sustained phonation.
  • To assess the algorithm's ability to differentiate between normal and disordered voices.
  • To identify the capability of tracking sporadic or nonstationary irregularities in individual acoustic wavelets.

Main Methods:

  • Utilized the adaptive Wiener filter for acoustic waveform analysis.
  • Employed correlation cancellation techniques to determine voice irregularities.

Related Experiment Videos

  • Validated the algorithm with a formant synthesizer and human subjects (normal and with voice disorders).

    • Main Results:

    • The developed method effectively differentiates between normal and abnormal voices.
    • The algorithm demonstrated success in tracking sporadic and nonstationary irregularities.
    • Confirmed the utility of the adaptive Wiener filter in voice analysis.

    Conclusions:

    • The proposed method offers a robust tool for the acoustics analysis of voice production.
    • This technique advances the ability to detect and characterize subtle voice irregularities.
    • Expected to aid in the diagnosis and understanding of voice disorders.