GMM and ARVM cooperation and competition for text-independent speaker recognition on telephone speech

We develop a cooperation and a competition of two different natures modelizations. The first one, the GMM [1], is a modelization of the parametrisation distribution of the speaker speech. The second, the ARVM [2, 3], is a modelization of the speaker speech spectral evolution. To allow cooperation and competition between different modelizations we use a classical measure normalization. We investigate the cooperation/competition of the GMM and ARVM on two levels : global and analytic. In order to improve the performances, we used results of previous study [4] and repeat the experiments on selected phonetic segments.