15. The method of claim 9 further comprising: grouping probe match scores into K clusters; selecting templates corresponding to ones of the K clusters having probe match scores that exceed M; performing the voice matching operation between the selected templates and the prototypes to obtain template-prototype match scores; performing the voice matching operation between the probe and the prototypes to obtain probe-prototype match scores; and selecting as the speaker-identity candidates templates corresponding to template-prototype match scores that are nearest to the probe-prototype match scores based on a Euclidian distance measurement in a P dimensional space spanned by the prototypes.
16. The method of claim 15 further comprising: performing the voice matching operation between the speaker-identity candidates and the templates in the biometric corpus to obtain speaker-identity-candidate match scores; performing a dot product between the speaker-identity-candidate match scores and the probe match scores to obtain similarity values; and ordering the speaker-identity candidates based on the similarity values.