Two methods of parameter estimation of discrete observation in HMM are proposed in this paper. One estimates the transition probability and the distribution of discrete symbol set at first. Each state is assumed to be from a Gaussian distribution.
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释义
给出了两种离散HMM参数估计,一种是首先估计HMM的转移概率和直接估计离散符号集的分布,然后假设各状态都是正态分布,再从符号集的离散概率分布,来估计正态概率分布的参数(GMM);
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