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رسائل ماجيستير الانجليزية 2016 fac14490-6fbf-4136-b8bc-b121227c24e8

Voice Recognition by using Machine Learning: A Case Study of some Rules of Tajweed

التعرف على الأصوات باستخدام تعلم الآلة: دراسة حالة بعض أحكام التجويد

Howida Ali Abdel Gader, Safaa Omer Mohammed Nssr

كلية الدراسات العليا-جامعة السودان للعلوم والتكنولوجيا · السودان

الموضوعات

علوم تطبيقية وتكنولوجية

الملخص

Voice recognition is considered as one of the most important aspects of machine learning domain. But it still has limited and modest applications in Arabic language. The Holy Quran is the largest container of Arabic language grammar in terms of speaking and utterance as it is considered as a message for all humanity. However, we present within this study a classification model for four different altajweed rules like the Allah name(mofakham, morakaq) and moon and sun L(لام),as we depended on two different kinds of voice features LPC(liner predictive coding),MFCC(Mel-frequency cepstrum), where these two types of features are the most used within the domain of processing voice signaldomain.as we depended on two classifying mechanisms (neural networks and hidden Markov model(HMM)) in order to study all possible cases of those studied rules, then we extracted those features of three different readers(males) and two different readers (female).each of Markov hidden model and neural networks have been trained by using two different types of extracted features and then we tested those trained models in order to obtain final results as to evaluate them. And resulted results in the training of Hidden Markov Models accuracy amount 90% with Allah (moufakhum), 92% with Allah (mourqeq), 83.3% with sunny لام and 80% with moony لام .The study resulted that neural network able to distinguish between four rules of Tajweed and training samples processing with high accuracy reached 95% with Allah (moufakhum) , 94% with Allah (mourqeq) , 93% with moony لام and 92.3% with sunny

التعريف والنوع

رقم الوثيقة
fac14490-6fbf-4136-b8bc-b121227c24e8
رقم العقد
0
نوع الوسائط
Crawler
نوع المحتوى
الرسائل العلمية
صيغة المصدر
رسائل ماجيستير
نوع الملف
pdf text
أسماء الملفات
20573_1.pdf, 20573_2.pdf

بيانات النشر

ترجمة العنوان
التعرف على الأصوات باستخدام تعلم الآلة: دراسة حالة بعض أحكام التجويد
ألقاب المؤلفين
[{"name_ar":"Howida Ali Abdel Gader","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"Safaa Omer Mohammed Nssr","title_ar":"اعداد","title_en":"Preparation"}]
اللغة
English

المصدر والدورية

اسم المصدر
Voice Recognition by using Machine Learning: A Case Study of some Rules of Tajweed

المحتوى والصفحات

عدد الصفحات
0

إشراف وإعداد

الإشراف
Howida Ali Abdel Gader
الإعداد
Safaa Omer Mohammed Nssr

الاقتباسات الببليوغرافية

APA

Howida Ali Abdel Gader و Safaa Omer Mohammed Nssr. (2016). Voice Recognition by using Machine Learning: A Case Study of some Rules of Tajweed. أطروحة(رسائل ماجيستير). كلية الدراسات العليا-جامعة السودان للعلوم والتكنولوجيا. السودان.

MLA

Howida Ali Abdel Gader و Safaa Omer Mohammed Nssr. Voice Recognition by using Machine Learning: A Case Study of some Rules of Tajweed. 2016. كلية الدراسات العليا-جامعة السودان للعلوم والتكنولوجيا، رسائل ماجيستير.