DocumentCode :
2452523
Title :
Analysis and implementation of a "Quranic" verses delimitation system in audio files using speech recognition techniques
Author :
Tabbal, Hassan ; El Falou, Wassim ; Monla, Bassem
Author_Institution :
Dept. of Comput. & Commun. Eng., Lebanese Univ., Tripoli
Volume :
2
fYear :
0
fDate :
0-0 0
Firstpage :
2979
Lastpage :
2984
Abstract :
With more than 300 audio recitations of the Holy Quran available for free on the internet, there is an increasing need for an automated delimiter that can extract the verses from the audio files, thus enabling the creation of hundreds of applications. Using the open source Sphinx framework as the basis of our research, we have developed an Automatic Speech Recognizer (ASR) for the Arabic language, it was then extended to take into account the specialties of the recitation of the holy Quran. The system developed showed promising results and could be used as the basis of a more evolved delimiter
Keywords :
audio signal processing; humanities; natural languages; public domain software; speech recognition; Arabic language; Holy Quran; Quranic verses delimitation system; audio files; audio recitations; automated delimiter; automatic speech recognizer; open source Sphinx framework; speech recognition techniques; Acoustic testing; Automatic speech recognition; Cepstrum; Decoding; Hidden Markov models; Natural languages; Runtime; Speech analysis; Speech recognition; Switches;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Communication Technologies, 2006. ICTTA '06. 2nd
Conference_Location :
Damascus
Print_ISBN :
0-7803-9521-2
Type :
conf
DOI :
10.1109/ICTTA.2006.1684889
Filename :
1684889
Link To Document :
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