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- W1608942015 abstract "This paper proposes a framework for the optimization of the feature set, in an HMM-based text-dependent speaker verification system, in which we distinguish the alignment task from the scoring task. The optimization is based on the search, among a set for potential features, for the feature subset that gives the minimal experimental Equal Error Rate. We have studied and compared various heuristics to find the optimal subset. We have also extended this optimization principle to the search for an optimal weighting of the different axes of the acoustic space. The optimal weighting was found by using a genetic algorithm." @default.
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- W1608942015 modified "2023-09-27" @default.
- W1608942015 title "Optimizing feature set for speaker verification" @default.
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- W1608942015 doi "https://doi.org/10.1007/bfb0015997" @default.
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