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During the last years an on-line system for automatic speaker verification has been developed at the Heinrich Hertz Institute. The structure of this system is described and the techniques used for preprocessing, feature extraction and classification are discussed in detail. Results are based on speech material gathered from "true speakers" and "impostors" who tried to imitate the true speakers supported by internal system information. It is shown that it is necessary to combine several feature sets to obtain a high system performance.