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Related Experiment Videos

Time normalization in voice analysis.

Y Qi1

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

The Journal of the Acoustical Society of America
|November 1, 1992
PubMed
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A novel method using dynamic time warping (DTW) accurately measures voice noise by aligning wavelets, overcoming limitations of traditional harmonics-to-noise ratio (HNR) calculations affected by fundamental frequency variations.

Area of Science:

  • Speech science
  • Acoustic analysis
  • Voice disorders

Background:

  • The harmonics-to-noise ratio (HNR) is a standard measure for voice noise.
  • Traditional HNR calculation is inflated by fundamental frequency (F0) variations due to zero-padding.
  • Accurate voice perturbation analysis is crucial for diagnosing voice pathologies.

Purpose of the Study:

  • To develop a new method for analyzing voice waveform perturbations.
  • To improve the accuracy of noise component calculation in voice signals.
  • To create an HNR measure independent of F0 perturbations.

Main Methods:

  • Developed a novel method to calculate voice noise from wavelet discrepancies after optimal time alignment.
  • Utilized dynamic time warping (DTW) for optimal time normalization of wavelets.

Related Experiment Videos

  • Evaluated the method using synthetic and natural voice signals.

    • Main Results:

    • The new method significantly reduced noise component measurements compared to traditional methods.
    • Achieved optimal time normalization of wavelets using DTW.
    • The DTW-based HNR was independent of fundamental frequency perturbations.

    Conclusions:

    • The DTW-based method provides a more accurate assessment of voice noise.
    • This technique overcomes the limitations of conventional HNR calculations.
    • The findings have implications for objective voice quality assessment and clinical diagnosis.