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Some technical considerations in voice perturbation measurements.

I R Titze, Y Horii, R C Scherer

    Journal of Speech and Hearing Research
    |June 1, 1987
    PubMed
    Summary

    Digital recording systems require nine bits of resolution and 500 samples per cycle to minimize noise. Interpolation allows accurate jitter measurement with fewer samples, but low-pass filtering can be problematic.

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    Area of Science:

    • Acoustics
    • Digital Signal Processing
    • Speech Science

    Background:

    • Quantization noise in digital recording systems can affect acoustic analysis.
    • Vocal shimmer and jitter are common perturbations in voice signals.
    • Understanding digital system limitations is crucial for accurate voice analysis.

    Purpose of the Study:

    • To estimate the maximum theoretical quantization noise for digital recording systems.
    • To compare this theoretical noise with normal vocal shimmer and jitter.
    • To provide guidelines for optimal digital recording parameters for voice analysis.

    Main Methods:

    • Theoretical estimation of quantization noise (shimmer and jitter).
    • Comparison with experimentally observed vocal shimmer and jitter.
    • Analysis of the impact of sampling rate, resolution, interpolation, and low-pass filtering.

    Main Results:

    • Nine bits of resolution and 500 samples per cycle are recommended to minimize sampling noise without interpolation.
    • With interpolation, jitter down to 0.1% can be resolved with fewer than 100 samples per cycle.
    • Low-pass filtering can be detrimental if peak-picking strategies are employed.

    Conclusions:

    • Digital recording parameters significantly influence the accuracy of voice perturbation measures.
    • Interpolation techniques enhance the ability to resolve fine jitter details.
    • Careful consideration of signal processing techniques is necessary for reliable acoustic voice analysis.

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