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 PDF format.

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