In this work, we study the asymptotic distribution of the normalized sum of independent, identically distributed random variables under the finite mixture models. In the Theorem we give necessary conditions for a distribution function of a mixed population with k components to belong to the domain of attraction of an α-stable distribution, by assuming that each component of the mixture also per...

Voice transformation is the process of using a small amount of speech data from a target speaker to build a transformation model that can be used to generate arbitrary speech that sounds like the target speaker. One common current technique is building Gausian Mixture Models to map spectral aspects from source to target speakers. This paper proposes the use of duration models to improve the tra...

In our paper we recall some known mixture operators and their properties. We introduce sufficient conditions for weighting functions to ensure the monotonicity of the corresponding operators. We introduce new applications of mixture operators in the insurance, namely in the additional insurance.

Abstract: Stochastic models such as mixture models, graphical models, Markov random fields and hidden Markov models have key role in probabilistic data analysis. In this paper, we used Gaussian mixture model to the pixels of an image. The parameters of the model were estimated by EM-algorithm.   In addition pixel labeling corresponded to each pixel of true image was made by Bayes rule. In fact,...