Patent ID: 6804648
Filing Date: 2004-10-12
Classification: G10L

Abstract:
A computer implemented method for automatic machine recognition of speech, comprising the steps of:inputting acoustic data; and iteratively refining parameter estimates of densities comprising mixtures of power exponential distributions whose parameters are means (&mgr;), variances (&sgr;), impulsivity numbers (&agr;) and mixture weights (w), wherein the step of iteratively refining comprises the steps of: predetermining initial values of the parameters &mgr;, &sgr; and w; iteratively deriving the parameters &mgr;, &sgr; and &agr; such that for impulsivities equal to that of a speech Gaussian yields updating for an expectation-maximization process; and determining a non-decreasing value of a log likelihood of the parameters in order to get final values of the parameters &mgr;, &sgr; and &agr;.