Isolated Arabic Digit Recognition Using Genetic Algorithm | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 17, Volume 11, Issue 1, June 2014, Pages 125-142 PDF (758.39 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/csmj.2014.163743 | ||
| Authors | ||
| Yusra Faisal Al-Irhaim; Ali Insaf Jasim | ||
| College of Computer Sciences and Mathematics University of Mosul | ||
| 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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