The Growing Hierarchical Recurrent Self Organizing Map for Phoneme Recognition

  • Chiraz Jlassi
  • Najet Arous
  • Noureddine Ellouze
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5933)

Abstract

This paper presents a new variant of a well known competitive learning algorithm: Growing Hierarchical Recurrent Self Organizing Map (GH_RSOM). The proposed variant is like the basic Growing Hierarchical Self Organizing Map (GHSOM), however, in the GH_RSOM each map of each layer is a recurrent SOM (RSOM) it is characterized for each unit of the map by a difference vector which is used for selecting the best matching unit and also for adaptation of weights of the map. In this paper, we study the learning quality of the proposed GHSOM variant and we show that it is able to reach good vowels recognition rates.

Keywords

Artificial neural network growing hierarchical self-organizing map recurrent self-organizing map phoneme recognition 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Chiraz Jlassi
    • 1
  • Najet Arous
    • 1
  • Noureddine Ellouze
    • 1
  1. 1.Ecole Nationale d’Ingénieurs de TunisTunisTunisie

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