Phoneme Recognition by Means of a Growing Hierarchical Recurrent Self-Organizing Model Based on Locally Adapting Neighborhood Radii

Abstract

This paper presents a tree evolutionary recurrent self-organizing model, based on locally adapting neighborhood radii and multiple prototype vectors named GH-Ad-RSOM. It is a variant of the Growing Hierarchical Self-Organizing Map GHSOM. The proposed GHSOM variant is characterized by a hierarchical model, composed of independent RSOMs (many RSOM), based on a locally adapting neighborhood radii and multiple prototype vectors. The method shows better robustness of GH-Ad-RSOM and high vowel classification rates compared to classic GHSOM and other variant of GHSOM.