Analysis of Voice Pathology Evolution Using Entropy Rate

Paulo Rogério Scalassara, María Eugenia Dájer, Jamille Lays Marrara, Carlos Dias Maciel, José Carlos Pereira · 2008

In the last years the use of voice acoustical analysis has increased much. Also, other techniques are being applied, such as nonlinear methods and comparison of quantities obtained from information theory. The latter is the case of this paper, we analyze characteristics of the entropy rate curve and its asymptote to acquire knowledge about the evolution of pathological voice signals. Specifically signals from patients with nodule in the vocal folds. The analysis provided some differences between nodule and healthy signals that may be related to the level of evolution of the pathology.

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