1. A method for recognizing a speaker comprising the scope of storing a set of templates representative of the acoustic features of predetermined reference words; generating, for each of a plurality of identified speakers, a set of first signals representative of the correspondence of the identified speaker's utterance of said reference words with said templates; generating a set of signals representative of the acoustic features of the utterance of an unknown speaker; recognizing the words of the unknown speaker's utterance from his utterance feature signals and said templates; generating a set of second signals representative of the correspondence of the feature signals of the recognized words of the unknown speaker to the feature signals of the templates; and identifying the unknown speaker responsive to the first signals for the recognized words of the identified speakers and the second signals.
1. A method for recognizing a speaker comprising the scope of storing a set of templates representative of the acoustic features of predetermined reference words; generating, for each of a plurality of identified speakers, a set of first signals representative of the correspondence of the identified speaker's utterance of said reference words with said templates; generating a set of signals representative of the acoustic features of the utterance of an unknown speaker; recognizing the words of the unknown speaker's utterance from his utterance feature signals and said templates; generating a set of second signals representative of the correspondence of the feature signals of the recognized words of the unknown speaker to the feature signals of the templates; and identifying the unknown speaker responsive to the first signals for the recognized words of the identified speakers and the second signals. 2. A method for recognizing a speaker according to claim 1 wherein the template storing step comprises storing a plurality of templates for each reference word, each template being representative of a distinct group of speakers, said first signal generating step comprises generating a set of signals each representative of the correspondence of the identified speaker's utterance of one of said reference words with each distinct group template; said second signal generating step comprises generating a set of signals each representative of the correspondence of the unknown speaker's feature signals for said recognized words with the feature signals of each distinct group template for said recognized words; and said identifying step comprises comparing the distinct group template correspondence signals for the recognized words of the identified speakers with the distinct group template correspondence signals for the unknown speaker to select the identity of the unknown speaker.