METHOD, APPARATUS, AND SYSTEM FOR SPEAKER VERIFICATION BASED ON ORTHOGONAL GAUSSIAN MIXTURE MODEL (GMM)

摘要

According to one aspect of the invention, a method is provided in which a signal representing a speech provided by a speaker who claims a particular identity is converted into a set of feature vectors. The feature vectors are transformed into corresponding spaces using the corresponding linear transform matrices that were previously computed based upon a speaker independent Gaussian mixture model. A determination is made to determine whether to accept or reject the claimed identity of the speaker using the transformed feature vectors and a previously constructed speaker dependent model that represents the claimed identity. The speaker dependent model is represented by a speaker dependent Gaussian mixture model which is constructed using the linear transform matrices associated with the corresponding mixtures in the speaker independent model.