The paper addresses a problem on speaker identification system using Hidden Markov Model (HMM) caused by the training data selected far from its distribution centre. Four scenarios for unguided data have been conr'ucted ...

In this paper, we introduced the using of Genetics Algorithm to optimize the construction of a 2D filter in 2D-MFCC technique for speaker identification system. The 2D filter construction was very essential for processing ...

The work described in this paper addresses an application of Hidden Markov Model (HMM) with modification in observation probability using two approaches for membership values, i.e. Euclidean distance base and kernel function ...