1. Introduction
Gaussian Mixture Model (GMM) [1] is a powerful probabilistic model for representing a population consisting of several subpopulations. Due to its satisfactory flexibility, good interpretability, and simple parameter learning, GMM has been widely used in many fields, including data mining, pattern recognition [2], machine learning, and statistical analysis.