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首页> 外文会议>Taibah University International Conference on Advances in Information Technology for the Holy Quran and Its Sciences >Towards Automating the Evaluation of??Holy Quran Recitations: A Pattern Recognition Perspective
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Towards Automating the Evaluation of??Holy Quran Recitations: A Pattern Recognition Perspective

机译：为了自动化的评估，古兰经重新分析：一种模式识别的观点

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摘要

The traditional way of learning how to recite Holy Quran is through a method called Talaqqi Musyafahah where students learn face to face from a qualified Quran teacher. As students have limited sessions with Quran teachers, they resort to Computer Aided Learning (CAL) methods to further enhance their quality of recitations. Unfortunately existing applications that aid in CAL don't provide any feedback mechanisms in terms of ratings/scores about the quality of recitations to end users. The benefits of such feedback mechanisms are quite vital to learners of Holy Quran to improve their learning process stage by stage. Till date, the problem of automating evaluation of Holy Quran recitations using computational techniques remains as a open challenge to researchers. In this research we would investigate this potential problem in brief, propose a basic framework based on a pattern recognition perspective to address the problem and report our preliminary results.
机译：学习如何背诵圣古兰的传统方式是通过一种叫做Talaqqqqqi Musyafahah的方法，其中学生从一个合格的古兰经教师学习面对面。随着学生与古兰经教师的会议有限，他们求助于计算机辅助学习（CAL）方法，以进一步提高其重新分析的质量。遗憾的是，现有的申请援助CAL的应用程序在评级/分数上提供任何反馈机制，了解到最终用户的重新定位的质量。这种反馈机制的好处对古兰经的学习者至关重要，以通过阶段改善他们的学习过程阶段。截至日期，使用计算技术自动评估古兰经重新评估的问题仍然是研究人员的开放挑战。在这项研究中，我们将简要探讨这一潜在问题，提出了一种基于模式识别的基本框架，以解决问题并报告我们的初步结果。

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