1. A method for speaker recognition, comprising the steps of obtaining and storing, in a database on a computer, speaker information for at least one target speaker; obtaining a plurality of speech samples from a plurality of telephone calls from at least one unknown speaker; classifying, using software stored and operating on the computer, the speech samples according to the at least one unknown speaker thereby providing one, two or more speaker-dependent classes of speech samples; extracting, using software stored and operating on the computer, speaker information for the speech samples of each of the speaker-dependent classes of speech samples; combining, using software stored and operating on the computer, the extracted speaker information for each of the speaker-dependent classes of speech samples; comparing, using software stored and operating on the computer, the combined extracted speaker information for each of the speaker-dependent classes of speech samples with the stored speaker information for the at least one target speaker to obtain at least one comparison result; and determining, using software stored and operating on the computer, whether one of the at least one unknown speakers is identical with the at least one target speaker based on the at least one comparison result.
1. A method for speaker recognition, comprising the steps of obtaining and storing, in a database on a computer, speaker information for at least one target speaker; obtaining a plurality of speech samples from a plurality of telephone calls from at least one unknown speaker; classifying, using software stored and operating on the computer, the speech samples according to the at least one unknown speaker thereby providing one, two or more speaker-dependent classes of speech samples; extracting, using software stored and operating on the computer, speaker information for the speech samples of each of the speaker-dependent classes of speech samples; combining, using software stored and operating on the computer, the extracted speaker information for each of the speaker-dependent classes of speech samples; comparing, using software stored and operating on the computer, the combined extracted speaker information for each of the speaker-dependent classes of speech samples with the stored speaker information for the at least one target speaker to obtain at least one comparison result; and determining, using software stored and operating on the computer, whether one of the at least one unknown speakers is identical with the at least one target speaker based on the at least one comparison result. 8. The method of claim 1 , wherein combining the extracted speaker information for each of the speaker-dependent classes of speech samples comprises generating for a particular class a combined Gaussian Mixture Model from the extracted speaker information of the speech samples of that class.