26. Method as claimed in claim 25, further comprising the step of: enrolling a bias template, said bias template having a plurality of positions corresponding to said plurality of positions of said utterance template, each said position of said bias template having a value stored therein, said stored value being representative of the probability of a particular binary value occurring in said corresponding position of any utterance template, said bias template being enrolled from all said utterance templates employed to enroll said reference templates by increasing the values stored in positions of the bias template each time an utterance template, used to enroll said reference templates, contains in corresponding positions the particular binary value.
25. Method as claimed in claim 14, further comprising the step of: enrolling said plurality of reference templates for said different selected speech by increasing the values stored in positions of a reference template for a selected speech each time an utterance template for the selected speech contains in corresponding positions the particular binary value, each said reference template being enrolled from a plurality of utterance templates formed from speech represented by the reference template being enrolled.