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Entropy-aware logistic regression for fusion of large-scale speaker recognition systems
Score-level fusion based on logistic regression is widely used in speaker recognition to combine complementary systems. However, conventional approaches assign fixed system-dependent coefficients and do not explicitly account for variations in the reliability of individual enrollment and test uttera
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