Abstract: Methods, systems, and computer program products for biometric authentication and more particularly to a method for classifying biometric data consisting in constructing, on the basis of a first universal statistical model and based on a set of first individual collections of biometric data, a second statistical model comprising a plurality of statistical sub-models and taking into consideration the biometric specificities of an individual or class of individuals, such that the first and second statistical models jointly define a highly discriminatory universal statistical model.

Abstract: Methods, systems, and computer program products for biometric authentication and more particularly to a method for classifying biometric data consisting in constructing, on the basis of a first universal statistical model and based on a set of first individual collections of biometric data, a second statistical model comprising a plurality of statistical sub-models and taking into consideration the biometric specificities of an individual or class of individuals, such that the first and second statistical models jointly define a highly discriminatory universal statistical model.

Abstract: The Gaussian Dynamic Time Warping model provides a hierarchical statistical model for representing an acoustic pattern. The first layer of the model represents the general acoustic space; the second layer represents each speaker space and the third layer represents the temporal structure information contained in each enrollment speech utterance, based on equally-spaced time intervals. These three layers are hierarchically developed: the second layer is derived from the first, and the third layer is derived from the second. The model is useful in speech processing application, particularly in applications such as word and speaker recognition, using a spotting recognition mode.