کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6893264 | 700060 | 2016 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Building CMU Sphinx language model for the Holy Quran using simplified Arabic phonemes
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
علوم کامپیوتر (عمومی)
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چکیده انگلیسی
This paper investigates the use of a simplified set of Arabic phonemes in an Arabic Speech Recognition system applied to Holy Quran. The CMU Sphinx 4 was used to train and evaluate a language model for the Hafs narration of the Holy Quran. The building of the language model was done using a simplified list of Arabic phonemes instead of the mainly used Romanized set in order to simplify the process of generating the language model. The experiments resulted in very low Word Error Rate (WER) reaching 1.5% while using a very small set of audio files during the training phase when using all the audio data for both the training and the testing phases. However, when using 90% and 80% of the training data, the WER obtained was respectively 50.0% and 55.7%.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Egyptian Informatics Journal - Volume 17, Issue 3, November 2016, Pages 305-314
Journal: Egyptian Informatics Journal - Volume 17, Issue 3, November 2016, Pages 305-314
نویسندگان
Mohamed Yassine El Amrani, M.M. Hafizur Rahman, Mohamed Ridza Wahiddin, Asadullah Shah,