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Modeling random uncertainties in voice production using a parametric approach

Abstract : The biomechanical system of voice production has been usually modeled as deterministic. However, when uncertainties of the parameters are considered, voice production must be regarded as a stochastic process. We follow a parametric approach for stochastic modeling, which requires the adoption of random variables to represent the uncertain parameters, and argue that such an approach improves predictability of the model. For each random variable, a probability density function is constructed using the maximum entropy principle. From the output of the model, a probability density function of the voice fundamental frequency is constructed, for configurations corresponding to male and female larynges, and compared to experimental data.
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E. Cataldo, R. Sampaio, J. Lucero, Christian Soize. Modeling random uncertainties in voice production using a parametric approach. Mechanics Research Communications, Elsevier, 2008, 35 (7), pp.454-459. ⟨10.1016/j.mechrescom.2008.05.006⟩. ⟨hal-00684827⟩

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