1. A method of text independent speaker recognition comprising the steps of sampling overlapping frames of a speech signal, computing a feature vector for each said frame of said speech signal, comparing each said feature vector with vector parameters and variances stored in a codebook corresponding to an enrolled speaker, accumulating the number of frames for which the corresponding feature vector corresponds to vector parameters and variances in a codebook, and identifying an enrolled speaker or detecting a new speaker in response to results of said accumulating step or said comparing step, respectively.