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

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

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...

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Bibliographic Details
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/
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

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