2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT) (2012)
Nov. 26, 2012 to Nov. 28, 2012
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ACSAT.2012.48
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.
cepstral analysis, social sciences computing, speaker recognition
M. A. Hussaini and R. W. Aldhaheri, "An Automatic Qari Recognition System," 2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT), Kuala Lumpur, 2013, pp. 524-528.