Using Rate of Divergence as an Objective Measure to
Differentiate between Voice Signal Types Based on the Amount of
Disorder in the Signal
*William M. Calawerts, *Liyu Lin1, +J.
C. Sprott, and *Jack Jiang
*School of Medicine and Public Health, Department of
Surgery, Division of Otolaryngology -- Head and Nick, University
of Wisconsin-Madison, Madison, Wisconsin
+Department of Physics,
University of Wisconsin-Madison, Madison, Wisconsin
Accepted for publication January 7, 2016
The purpose of this paper is to
introduce the rate of divergence as an objective measure to
differentiate between the four voice types based on the amount
of disorder present in a signal. We hypothesized that rate of
divergence would provide an objective measure than can quantify
all four voice types.
Ref: W. M. Calawerts, L. Lin, J. C. Sprott, and J. J. Jiang,
Journal of Voice 31, 16-23 (2017)
The complete paper is available in
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