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Speech with various emotions aggravates the performance of speaker recognition systems. In this paper, a novel score normalization approach called pitch envelope based frame level score reweighted (PFLSR) algorithm is introduced to compensate the influence of the affective speech on speaker recognition. The approach assumes that the maximum likelihood model is not easily changed with the expressive...
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