Modeling random uncertainties in voice production using a parametric approach
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.
The purpose of this study was to propose a new experiment teaching mode of Probability and Statistics under today's information technology environment.Firstly,after analyzing the disadvantage of traditional teaching mode of Probability and Statistics,the paper presented a new reform thought which linked teaching organizers with such teaching factors as teaching object and teaching environment.Secondly,using campus network and statistics analysis software,the paper proposed a digital experimental teaching system of Probability and Statistics,in which teacher and student can be highly interactive with each other.Then,the paper discussed the realization of the system.This paper has provided a valuable reference for the reform of Probability and Statistics teaching.