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AL-Rafidain Journal of Computer Sciences and Mathematics

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Isolated Arabic Digit Recognition Using Genetic Algorithm

    Yusra Faisal Al-Irhaim Ali Insaf Jasim

AL-Rafidain Journal of Computer Sciences and Mathematics, 2014, Volume 11, Issue 1, Pages 125-142
10.33899/csmj.2014.163743

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Abstract

This study aims at constructing an intelligent system for recognizing the single Arabic numbers. It consists of two basic stages: the stage of features extraction and the stage of recognition. In the first stage, the technology of (Mel-Frequency cestrum coefficient (MFCC)) was employed. But in the second stage, the genetic algorithm was used.
The results of the test showed that words recognition percentage was (100%) for the words used with training, and it was (97%) for the words used with no training. The proposed system was constructed using the MatLab version (0.7) program, and the data used in the system are the following numbers: (0, 1, 2, 3, 4, 5, 6, 7, 8 and 9). Also, six speakers (four males and two females) performed the voice recording.
 
Keywords:
    Speech recognition Arabic digits Genetic algorithms
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(2014). Isolated Arabic Digit Recognition Using Genetic Algorithm. AL-Rafidain Journal of Computer Sciences and Mathematics, 11(1), 125-142. doi: 10.33899/csmj.2014.163743
Yusra Faisal Al-Irhaim; Ali Insaf Jasim. "Isolated Arabic Digit Recognition Using Genetic Algorithm". AL-Rafidain Journal of Computer Sciences and Mathematics, 11, 1, 2014, 125-142. doi: 10.33899/csmj.2014.163743
(2014). 'Isolated Arabic Digit Recognition Using Genetic Algorithm', AL-Rafidain Journal of Computer Sciences and Mathematics, 11(1), pp. 125-142. doi: 10.33899/csmj.2014.163743
Isolated Arabic Digit Recognition Using Genetic Algorithm. AL-Rafidain Journal of Computer Sciences and Mathematics, 2014; 11(1): 125-142. doi: 10.33899/csmj.2014.163743
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