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
Related Articles
- EP ID EP128498
- DOI 10.14569/IJACSA.2016.070720
- Views 86
- Downloads 0
A Fast Method to Estimate Partial Weights Enumerators by Hash Techniques and Automorphism Group
BCH codes have high error correcting capability which allows classing them as good cyclic error correcting codes. This important characteristic is very useful in communication and data storage systems. Actually after alm...
Generation of Sokoban Stages using Recurrent Neural Networks
Puzzles and board games represent several important classes of AI problems, but also represent difficult complexity classes. In this paper, we propose a deep learning based alternative to train a neural network model to...
MINN: A Missing Data Imputation Technique for Analogy-based Effort Estimation
Success and failure of a complex software project are strongly associated with the accurate estimation of development effort. There are numerous estimation models developed but the most widely used among those is Analogy...
Scientific Articles Exploration System Model based in Immersive Virtual Reality and Natural Language Processing Techniques
After having carried out a historical review and identifying the state of the art in relation to the interfaces for the exploration of scientific articles, the authors propose a model based in an immersive virtual enviro...
Sentiment Summerization and Analysis of Sindhi Text
Text corpus is important for assessment of language features and variation analysis. Machine learning techniques identify the language terms, features, text structures and sentiment from linguistic corpus. Sindhi languag...