Title :
An Automatic Qari Recognition System
Author :
Hussaini, Mohammed A. ; Aldhaheri, Rabah W.
Author_Institution :
Dept. of Electr. & Comput. Eng., King Abdulaziz Univ., Jeddah, Saudi Arabia
Abstract :
In this paper, we present an automatic Qari Recognition system based on text-independent speaker recognition technique using Mel-Frequency Cepstral Coefficients. Our test database of 200 samples consisted of recordings by 20 reciters and we achieved 86.5% recognition rate for clean samples. The recognition rate is also tested for noisy samples of 25 dB to 0 dB SNR. This automatic Qari recognition system can be used by the Holy Qur´an radio and Television station anchors to help identify the reciter of the Holy Qur´an while broadcasting live and recorded prayers and recitations.
Keywords :
cepstral analysis; social sciences computing; speaker recognition; Mel-Frequency cepstral coefficient; Qur´an; automatic Qari recognition system; text-independent speaker recognition; Quran recitation; speaker recognition; speech processing; text-independent;
Conference_Titel :
Advanced Computer Science Applications and Technologies (ACSAT), 2012 International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4673-5832-3
DOI :
10.1109/ACSAT.2012.48
