Towards an Accurate Speaker-Independent Holy Quran Acoustic Model

被引：0

作者：

El Amrani, Mohamed Yassine ^{[1
,2
]}

Rahman, M. M. Hafizur ^{[3
]}

Wahiddin, Mohamed Ridza ^{[2
]}

Shah, Asadullah ^{[2
]}

机构：

[1] Jubail Univ Coll, Comp Sci & Engn Dept, Jubail Ind City, Saudi Arabia

[2] Int Islamic Univ Malaysia, KICT, Kuala Lumpur, Malaysia

[3] Xiamen Univ, Comp Sci & Technol, Sepang, Malaysia

来源：

2017 4TH IEEE INTERNATIONAL CONFERENCE ON ENGINEERING TECHNOLOGIES AND APPLIED SCIENCES (ICETAS) | 2017年

关键词：

Automatic Speech Recognition; Arabic Speech Recognition; Holy Quran Recognition; CMU Sphinx; SYSTEM;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The popularity of speech recognition tools keeps increasing with the processing power of mobile devices. The use of speech recognition for the Arabic in general and the Holy Quran, in particular, has also followed the same trend. Holy Quran speech recognition systems have been developed by increasing the training data. In this paper, a more accurate Carnegie Melon University Sphinx acoustic model was trained for the Holy Quran chapters 001, and 067 to 114. When more efforts were put into having a more accurate training data, the resulting Word Error Rate of trained acoustic model reached around 15%.

引用

页数：4

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