• DocumentCode
    2107415
  • 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
  • fYear
    2012
  • fDate
    13-15 Dec. 2012
  • Firstpage
    30
  • Lastpage
    34
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multitopic Conference (INMIC), 2012 15th International
  • Conference_Location
    Islamabad
  • Print_ISBN
    978-1-4673-2249-2
  • Type

    conf

  • DOI
    10.1109/INMIC.2012.6511440
  • Filename
    6511440