Title of article :
The Performance of Expectation Maximization (EM) Algorithm in Gaussian Mixed Models (GMM)
Author/Authors :
Mohd. Izhan, Mohd. Yusoff Telekom Research Development Sdn Bhd, TMR D Innovation Centre - Operation Support Systems Program - Applied Research Division, Malaysia , Mohd. Rizam, Abu Bakar Universiti Putra Malaysia - Faculty of Science - Department of Mathematics, Malaysia , Mohd. Nor, Abu Hassan Shaari Universiti Kebangsaan Malaysia - Faculty of Economics and Business, Malaysia
Abstract :
Expectation Maximization (EM) algorithm has experienced a significant increase in terms of usage in many fields of study. In this paper, the performance of the said algorithm in finding the Maximum Likelihood for the Gaussian Mixed Models (GMM), a probabilistic model normally used in fraud detection and recognizing a person’s voice in speech recognition field, is shown and discussed. At the end of the paper, some suggestions for future research works will also be given.
Keywords :
Expectation Maximization (EM) , Gaussian Mixed Models (GMM) , Box and Muller Transformation
Journal title :
Pertanika Journal of Science and Technology ( JST)
Journal title :
Pertanika Journal of Science and Technology ( JST)
