Robust text-independent speaker identification using artificial immune system

Abstract EN

The description of the Artificial Immune System (AIS) with the major Gaussian Mixture Model (GMM) based speaker Identification system is introduced In this paper.

The new proposed menthod improves the clustering of the speech features vectors of the trained speech signals using the Supervised Clonal Selection methods based on the AIS.

The experiments show that the proposed algorithm produced improved results when companed to the conventional GMM algorithm.