Gaussian Mixture Model GMM

In algorithm ways, Gaussian mixture model (GMM) is the most successful speaker recognition model at present.

在算法方面，高斯混合模型(GMM)是目前最成功的一种说话人识别模型。

Gaussian mixture model (GMM) has been widely used for text-independent speaker recognition. This method has simple and efficient character.

高斯混合模型(GMM)已广泛地应用于文本无关的说话人识别系统，该方法具有简单高效的特点。

The traditional training methods of Gaussian Mixture Model(GMM) are sensitive to the initial model parameters, which often leads to a local optimal parameter in practice.

为了解决传统高斯混合模型（GMM）对初值敏感，在实际训练中极易得到局部最优参数的问题，提出了一种采用微粒群算法优化GMM参数的新方法。