3. The mehtod according to claim 2, further including the step of: recognizing an arbitrary speaker by allowing said speaker to speak and dividing said input speech into equal length frames and comparing said frames with said new set of templates for each enrolled speaker and, selecting the enrolled speaker providing a best match with said new set of templates as stored.
2. A method for recognizing one speaker in a group of enrolled speakers, comprising the steps of: enrolling each speaker by having each speaker speak a training utterance, converting said training utterance into speech frames of equal duration each indicative of a segment of said utterance, dividing said speech frames into shorter equal duration segments each indicatvie of a segment of said utterance, forming a set of templates from said shorter equal duration segments, storing said template set, aligning each of said stored templates with at least one frame of said training utterance for each speaker averaging said aligned frames, forming a new set of templates from said averaged frames, storing said new set of templates for enabling a comparison of the speech of any arbitrary enrolled speaker with said new set of templates as stored to recognize said arbitrary speaker from any other enrolled speaker.