Author/Authors :
HARDALAC, Naciye Gazi Eğitim - Fakültesi Güzel Sanatlar - Eğitimi Bölümü Müzik Eğitimi A.B.D. , ÖZÇELİK, Sadık Gazi Eğitim - Fakültesi Güzel Sanatlar - Eğitimi Bölümü Müzik Eğitimi A.B.D.
Title Of Article :
Classifying Musical Perception of Different Educational Disciplines of Students
Abstract :
In this study, classification of musical perception on different educational discipline of students (positive and social science) was demonstrated by using Jordan Elman neural network. Total of 104 students of both discipline were participated to this study. Per student was asked for listening and repetition of playing piano melody. The frequency and amplitude of FFT were analyzed by recorded piano playing and melody repeated by students. The performance of student musical perception was calculated by the rate 96% (positive) and 92% (social) as result of applying Jordan Elman neural network by FFT analysis.
NaturalLanguageKeyword :
Musical performance , musical perception , Jordan Elman neural networks , Fast Fourier transform (FFT)
JournalTitle :
Gazi University Journal Of Gazi Educational Faculty
