In speaker verification, a claimant may produce two or more utterances. Typically, the scores of the speech patterns extracted from these utterances are averaged and the resulting mean score is compared with a decision threshold. Rather than simply computing the mean score, this paper proposes to compute the optimal weights for fusing the scores based on the score distribution of the independent utterances and the authors' prior knowledge about the score statistics.
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