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|3 10.46514/1971-000-011-007
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| 041 |
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|a eng
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| 044 |
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|b اليمن
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| 100 |
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|9 566192
|a Al Baraq, Mowaffak O. A.
|e Author
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| 245 |
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|a Arabic Speech Recognition System Trough VQLBG Algorithm Using Matlab
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| 260 |
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|b الجامعة الوطنية
|c 2020
|g فبراير
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| 300 |
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|a 1 - 20
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| 336 |
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|a بحوث ومقالات
|b Article
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| 520 |
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|b rectangular window techniques has been used for segmentation of the Arabic Speech uttered words to atomic or sub atomic samples. Real time Arabic Speech Recognition system has been developed for introducing recognition of the uttered Arabic words instantly after the utterance. This paper introduces a unique technique making interaction of human with a computer for natural language processing which is basically a speech recognition system. In this paper 100 Arabic voice samples were recorded through a microphone and the system was trained according to the recoded voice samples. MFCC features of speech sample were calculated, Vector Quantization for mapping large feature vectors to finite cluster codewords, build trained codebook model for each word and Euclidean Distances used for recognition word according to distortions associated with each features. This system provides a high accuracy in case of Arabic speech words.
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| 653 |
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|a الكلمة العربية
|a اللغة العربية
|a اللغات
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| 692 |
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|b A Rectangular Window
|b ASR System
|b Feature Extraction
|b Arabic Word
|b NLP
|b DTW
|b FFT
|b Mel Frequency Scale
|b Mel Power Spectrum
|b MFCC
|b CodeBook
|b VQLBG and Euclidean Distances Algorithm
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| 773 |
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|4 العلوم الإنسانية ، متعددة التخصصات
|4 التربية والتعليم
|6 Humanities, Multidisciplinary
|6 Education & Educational Research
|c 007
|e The National University Journal
|f Mağallaẗ al-ğāmiʿaẗ al-waṭaniyyaẗ
|l 011
|m ع11
|o 1971
|s مجلة الجامعة الوطنية
|v 000
|x 2519-6022
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| 856 |
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|u 1971-000-011-007.pdf
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| 930 |
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|d y
|p y
|q n
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| 995 |
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|a EduSearch
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| 995 |
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|a HumanIndex
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| 999 |
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|c 1045171
|d 1045171
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