Evolutionary Strategy of Chromosomal RSOM Model on Chip for Phonemes Recognition
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 7
Abstract
This paper aims to contribute in modeling and implementation, over a system on chip SoC, of a powerful technique for phonemes recognition in continuous speech. A neural model known by its efficiency in static data recognition, named SOM for self organization map, is developed into a recurrent model to incorporate the temporal aspect in these applications. The obtained model RSOM will subsequently introduced to ensure the diversification of the genetic algorithm GA populations to expand even more the search space and optimize the obtained results. We assigned a chromosomal vision to this model in an effort to improve the information recognition rate.
Authors and Affiliations
Mohamed Salhi, Nejib Khalfaoui, Hamid Amiri
Keywords
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- EP ID EP128497
- DOI 10.14569/IJACSA.2016.070720
- Views 90
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