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The effect of segment selection on acoustic analysis.

Seong Hee Choi¹, Jiyeoun Lee, Alicia J Sprecher

¹Department of Audiology and Speech-Language Pathology, Catholic University of Daegu, Gyeongsan, Korea.

Journal of Voice : Official Journal of the Voice Foundation

|September 6, 2011

Summary

A new moving window technique offers more accurate vocal fold function analysis by objectively identifying the steadiest voice signal segment, unlike traditional methods. This improves reliability in acoustic analysis for jitter, shimmer, and signal-to-noise ratio (SNR).

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Area of Science:

Speech science
Acoustic phonetics
Vocal fold physiology

Background:

Acoustic analysis quantifies vocal fold function using parameters like jitter, shimmer, and signal-to-noise ratio (SNR).
Current methods for selecting representative voice signal segments lack established accuracy and reliability.
Inconsistent segment selection can introduce significant variability into acoustic analysis results.

Purpose of the Study:

To evaluate the reliability and accuracy of a novel moving window method for selecting voice signal segments in acoustic analysis.
To compare the moving window method against traditional segment selection techniques for vocal fold function assessment.

Main Methods:

A prospective, repeated-measure experiment was conducted on ten normal voice signals.

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A moving window method was applied to isolate consecutive, overlapping segments of the raw voice signal.

Acoustic measures (perturbation, SNR) were calculated from the moving window segments and compared to whole vowel, mid-vowel, and visually selected segments.

Main Results:

The steadiest waveform portion, defined by minimum perturbation and maximum SNR, varied significantly across individuals.
Perturbation and nonlinear dynamic values differed based on the selected waveform segment.
The moving window method yielded significantly lower perturbation values and higher SNR values compared to other methods (P<0.001).

Conclusions:

Segment selection is a critical factor introducing inconsistencies in acoustic voice analysis.
The moving window technique provides a more objective and reliable approach for identifying the steadiest voice sample segment.
This method enhances the accuracy and consistency of acoustic measures for vocal fold function assessment.