Under ideal conditions, the probability density function (PDF) of a random variable, such as sensor measurement, would be well known and amenable to computation communication tasks. However, this is often not case, so user looks for some other PDF that approximates true but intractable PDF. Conservativeness commonly sought property approximating PDF, especially in distributed or unstructured da...

In this paper, we propose a new speech probability distribution, two-sided generalized gamma distribution (GΓD) for an efficient parametric characterization of speech spectra. GΓD forms a generalized class of parametric distributions including the Gaussian, Laplacian and Gamma probability density functions (pdf’s) as special cases. All the parameters associated with the GΓD are estimated by the...