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A Computer Aided Pronunciation Learning system for teaching the holy quran Recitation rules

机译：一种计算机辅助发音学习系统，用于教授古兰经背诵规则

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摘要

This paper describes a speech-enabled Computer Aided Pronunciation Learning (CAPL) system. This system was developed for teaching Arabic pronunciations to non-native speakers. A challenging application of that system is teaching the correct recitation of the Holy Qur'an. This system uses a state of the art speech recognizer to detect errors in the user recitation. To increase accuracy of the speech recognizer, only probable pronunciation variants, that cover all common types of recitation errors, are examined by the speech decoder. A module for the automatic generation of pronunciation hypotheses is built as a component of the system. A phoneme duration classification algorithm is implemented to detect recitation errors related to phoneme durations. The decision reached by the recognizer is accompanied by a confidence score to reduce effect of misleading system feedbacks to unpredictable speech inputs. Assessment results for the performance of HAFSS system in three different countries are introduced.
机译：本文介绍了具有语音功能的计算机辅助发音学习（CAPL）系统。该系统是为向非母语人士教授阿拉伯语发音而开发的。该系统具有挑战性的应用是教导正确的古兰经背诵。该系统使用最先进的语音识别器来检测用户朗诵中的错误。为了提高语音识别器的准确性，语音解码器仅检查覆盖所有常见类型的朗诵错误的可能的发音变体。用于自动生成发音假设的模块被构建为系统的组件。实现音素持续时间分类算法以检测与音素持续时间相关的背诵错误。识别器做出的决定带有一个置信度分数，以减少误导系统反馈对不可预测的语音输入的影响。介绍了三个不同国家对HAFSS系统性能的评估结果。

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