Patent ID: 7539617
Filing Date: 2009-05-26
Classification: G10L

Abstract:
1. A method of analyzing vocal signals of a speaker, comprising: transforming a vocalized audio signal of the speaker from an audio input device into a numerical representation and storing it in a memory of a device; using a probability density representing resemblances between a vocal representation of the speaker in a predetermined model and a predetermined set of vocal representations of a number E of reference speakers that do not include the speaker in said predetermined model, said predetermined model being an absolute model of dimension D, using a mixture of M Gaussians, in which the speaker is represented by a set of parameters comprising weighting coefficients for the mixture of Gaussians in said absolute model, mean vectors of dimension D and covariance matrices of dimension D×D and wherein the probability density of the resemblances between the representation of said vocal signals of the speaker and the predetermined set of vocal representations of the reference speakers is represented by a Gaussian distribution of mean vector of dimension E and of covariance matrix of dimension E×E, said mean vector and covariance matrix being estimated in a space of resemblances to the predetermined set of E reference speakers; analyzing the probability density to deduce therefrom information on the vocal signals; and providing an analysis result from a device and applying the result to an application relating to the acoustic vocal signal of the speaker.