A maximum a posteriori estimation approach is used to evaluate the optimal values for the estimates of the parameters.
一个最大后验估计的方法来评估这些参数的估计的最优值。
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。
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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