Feature extraction using spectral centroid and mel frequency cepstral coefficient for Quranic accent automatic identification

• Main Authors: Kamarudin, Noraziahtulhidayu, Syed Mohamed, Syed Abdul Rahman Al-Haddad, Hashim, Shaiful Jahari, Nematollahi, Mohammad Ali, Hassan, Abd Rauf
• Format: Conference or Workshop Item
• Language: English
• Published: IEEE 2014
• Online Access: http://psasir.upm.edu.my/id/eprint/68279/1/Feature%20extraction%20using%20spectral%20centroid%20and%20mel%20frequency%20cepstral%20coefficient%20for%20Quranic%20accent%20automatic%20identification.pdf; http://psasir.upm.edu.my/id/eprint/68279/

This paper presents the process of Quranic Accent Automatic Identification. Recent feature extraction technique that is used for Quranic verse rule identification/Tajweed include Mel Frequency Cepstral Coefficients (MFCC) which prone to additive noise and may reduce the classification result. Theref...