Performance Measurement Of Mel Frequency CeptralCoefficient (MFCC) Method In Learning System Of AlQur'anBasedInNaghamPatternRecognition

Most of research have used signal and speech processing in order to recognizemakhraj pattern andtajwid reading in Al-Quran by exploring the mel frequency ceptralcoefficient (MFCC). However, to our knowledge so far there is no research has been conductedto recognize the chanting of Al-Quran verse using MFCC. This term is also well-known asnagham Al-Quran. The characteristics of nagham Al-Quran pattern is much more complexthen makhraj and tajwid pattern. In nagham the wave of the sound has more variation whichimplies the level of noice is much higher and has sound duration longer. The data testing inthis research was taken term by real-time recording. The evaluation measurement in the systemperformance of nagham Al-Quran pattern is based on true and false detection parameter withaccuracy 80%. To measure this accuracy it is necessary to modify the MFCC or to give moredata learning process with more variation.