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首页> 外文会议>2013 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：走向自动评估古兰经》的习得：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：学习如何背诵古兰经的传统方法是通过称为Talaqqi Musyafahah的方法，学生可以从合格的古兰经老师那里面对面学习。由于学生与古兰经老师的课程有限，因此他们求助于计算机辅助学习（CAL）方法以进一步提高朗诵质量。不幸的是，现有的帮助CAL的应用程序没有提供有关最终用户朗诵质量的评分/分数的反馈机制。这种反馈机制的益处对于圣古兰经的学习者逐步改善他们的学习过程至关重要。迄今为止，使用计算技术自动评估古兰经背诵的问题仍然是研究人员面临的开放挑战。在这项研究中，我们将简要研究这个潜在问题，基于模式识别的观点提出一个基本框架，以解决该问题并报告我们的初步结果。

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