An experimental calculation based on the proposed matching selection for a maximum problem was performed.

以这种配对方式为基础，对一个极大值问题作了计算机模拟。

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This paper proposes an algorithm of random maximum weight matching that resolves the problem while keeps a large sum of matching weight so as to preserve advantages of maximum weight matching.

该文提出随机赋权匹配算法以解决实时实现的问题，同时，使匹配的总权值依旧很大，保持了赋权匹配的优点。

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We use Bayesian maximum a posteriori estimation training a speaker model from background model, to solve the problem of model miss matching in speaker verification system.

采用贝叶斯最大后验概率估计的方式，从统一背景模型中生成说话人模型。

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