Cooperative Growing Hierarchical Recurrent Self Organizing Model for Phoneme Recognition
Journal Title: International Journal of Computational & Neural Engineering (IJCNE) - Year 2015, Vol 2, Issue 1
Abstract
In this paper, we propose a system of a tree evolutionary recurrent self-organizing models. Inherited from the Growing Hierarchical Self-Organizing Map GHSOM. The proposed GHSOM variants are characterized by a hierarchical model, composed of independent RSOMs (recurrent Self-Organizing Map). The case study of the proposed system is phoneme recognition in continuous speech and speaker independent context. GHSOM variants serve az tools for developing intelligent systems and proposed artificial intelligence application.
Authors and Affiliations
Chiraz Jlassi
Keywords
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- EP ID EP208285
- DOI 10.19070/2572-7389-150003
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Cooperative Growing Hierarchical Recurrent Self Organizing Model for Phoneme Recognition
In this paper, we propose a system of a tree evolutionary recurrent self-organizing models. Inherited from the Growing Hierarchical Self-Organizing Map GHSOM. The proposed GHSOM variants are characterized by a hierarchic...