1. A method for text-dependent Speaker Recognition using a speaker model obtained by adaptation of a Universal Background Model, wherein the speaker model is a speaker adapted Hidden Markov Model, wherein the speaker model uses Bayesian inference to link observed parameters and hidden parameters, wherein the observed parameters are the feature vectors x nmt of utterance m of speaker n and time index t, and wherein the hidden parameters are at least one of a group of: the speaker factor y n for each speaker n, the channel factors u nm of the utterance m of speaker n, the active state s nmt generating the feature vector x nmt , and the active component z nmt generating the feature vector x nmt .