Title :
Qur´an recognition for the purpose of memorisation using Speech Recognition technique
Author :
Abro, Bushra ; Naqvi, A.B. ; Hussain, Amir
Author_Institution :
Dept. of Comput. Sci. & Software Eng., Int. Islamic Univ. Islamabad, Islamabad, Pakistan
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.
Keywords :
feature extraction; humanities; neural nets; pattern matching; speech recognition; ASR system; ASR technology; Arabic speech; Mel frequency cepstral coefficient; Quran recognition; Quranic database; artificial neural network; feature extraction; language tutor; memorisation; pattern matching; pattern recognition; speech recognition technique; Automatic Speech Recognition system; Qur´an recognizer; Speech recognition;
Conference_Titel :
Multitopic Conference (INMIC), 2012 15th International
Conference_Location :
Islamabad
Print_ISBN :
978-1-4673-2249-2
DOI :
10.1109/INMIC.2012.6511440