Qur'an recognition for the purpose of memorisation using Speech Recognition technique

Bushra Abro, A. Naqvi, Ayyaz Hussain
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引用次数: 17

Abstract

Speech recognition is an important problem of pattern recognition area. It has gained popularity with the advancements in technology. Therefore, large number of researches has been done in recent years to achieve the human-like accuracy in this field. Arabic speech was neglected in past years due to inherent difficulty and complexity in it. In recent years, many researchers worked on it and most of them focused on Qur'anic database as its being the standard of formal Arabic. Need is felt for an automatic Qur'an recognizer which could help Muslims to memorise Qur'an without human involvement. This paper focuses on this issue and identifies the major differences between simple Automatic Speech Recognition (ASR) system and a language tutor using ASR technology with respect to Qur'an memorisation. The system is implemented using ASR technique which has proven to be incomplete method for an intelligent Qur'an tutor and thus need modification to accomplish such task.
以记忆为目的的古兰经识别使用语音识别技术
语音识别是模式识别领域的一个重要问题。随着科技的进步,它越来越受欢迎。因此,近年来在这一领域进行了大量的研究,以达到类人的精度。阿拉伯语由于其固有的难度和复杂性,在过去的几年里一直被忽视。近年来,许多研究者对其进行了研究,但由于古兰经数据库是正式阿拉伯语的标准,研究的焦点大多集中在古兰经数据库。需要一个自动古兰经识别器,它可以帮助穆斯林在没有人类参与的情况下记忆古兰经。本文着重讨论了这一问题,并指出了简单的自动语音识别(ASR)系统与使用ASR技术的语言导师在古兰经记忆方面的主要区别。该系统采用ASR技术实现,该技术已被证明是智能古兰经导师的不完整方法,因此需要修改才能完成该任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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