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Analysis of Voice Pathology Evolution Using Entropy Rate

机译:基于熵率的语音病理演变分析

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摘要

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.
机译:近年来,语音声学分析的使用已大大增加。此外,其他技术也正在应用,例如非线性方法和从信息论获得的数量比较。后者是本文的情况,我们分析熵率曲线的特征及其渐近线,以获取有关病理性语音信号演变的知识。特别是来自声带结节患者的信号。该分析提供了结节信号与健康信号之间的某些差异,可能与病理的发展水平有关。

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