11. The method of claim 10 furthering comprising: clustering the probe match scores until probe match scores in each of K clusters have a deviation less than about ten times a deviation in the probe match scores; and selecting templates that belong to clusters that have probe match scores greater than M as the first templates.
11. The method of claim 10 furthering comprising: clustering the probe match scores until probe match scores in each of K clusters have a deviation less than about ten times a deviation in the probe match scores; and selecting templates that belong to clusters that have probe match scores greater than M as the first templates. 14. The method of claim 11 wherein the nearness measurement is a Euclidian distance, the method further comprising: spanning a P dimensional hyperspace having the prototypes as axes; and selecting as the speaker-identity candidates templates corresponding to template-prototype match scores that are within an R radius of a probe point corresponding to the probe-prototype match scores, wherein template-prototype match scores and probe-prototype match scores are coordinates of points in the P dimensional hyperspace.