24. Apparatus as recited in claim 23, wherein said stored representation of speech signals includes a plurality of codebooks, each codebook including a plurality of codewords comprising mean and variance values of parameters of clusters of feature vectors computed from frames of speech signals corresponding to an enrolled speaker and wherein said identifying means includes means for sampling frames of said input speech signal, means for computing feature vectors from frames of said input speech signal, means for comparing parameters of ones of said feature vectors with said stored mean and variance values to derive a score, and counting the number of feature vectors which correspond to each said codebook in response to said means for comparing parameters.
24. Apparatus as recited in claim 23, wherein said stored representation of speech signals includes a plurality of codebooks, each codebook including a plurality of codewords comprising mean and variance values of parameters of clusters of feature vectors computed from frames of speech signals corresponding to an enrolled speaker and wherein said identifying means includes means for sampling frames of said input speech signal, means for computing feature vectors from frames of said input speech signal, means for comparing parameters of ones of said feature vectors with said stored mean and variance values to derive a score, and counting the number of feature vectors which correspond to each said codebook in response to said means for comparing parameters. 25. Apparatus as recited in claim 24, further including means for performing a consistency check of results provided by said means for identifying a speaker.