TY - GEN
T1 - FFT-based features selection for Javanese music note and instrument identification using support vector machines
AU - Tjahyanto, Aris
AU - Suprapto, Yoyon K.
AU - Purnomo, Mauridhi Hery
AU - Wulandari, Diah Puspito
PY - 2012
Y1 - 2012
N2 - Most automatic music transcription research is related with Western music, and still less for the Javanese gamelan music. In this paper, we proposed a method for the features extraction, selection, and identification of gamelan note and the proper instrument. It was an approach based on Fast Fourier Transform (FFT), and support vector machines (SVMs) for note and instrument identification. We selected four spectral features (spectral centroid, two spectral rolloff, and fundamental frequency) as input for SVM. Experimental results show that fundamental frequency, spectral centroid, and spectral rolloff can be used to distinguish gamelan instrument with accuracy or recognition rate more than 95%.
AB - Most automatic music transcription research is related with Western music, and still less for the Javanese gamelan music. In this paper, we proposed a method for the features extraction, selection, and identification of gamelan note and the proper instrument. It was an approach based on Fast Fourier Transform (FFT), and support vector machines (SVMs) for note and instrument identification. We selected four spectral features (spectral centroid, two spectral rolloff, and fundamental frequency) as input for SVM. Experimental results show that fundamental frequency, spectral centroid, and spectral rolloff can be used to distinguish gamelan instrument with accuracy or recognition rate more than 95%.
KW - FFT
KW - gamelan
KW - music transcription
KW - spectral features
KW - support vector machine
UR - http://www.scopus.com/inward/record.url?scp=84867040696&partnerID=8YFLogxK
U2 - 10.1109/CSAE.2012.6272633
DO - 10.1109/CSAE.2012.6272633
M3 - Conference contribution
AN - SCOPUS:84867040696
SN - 9781467300865
T3 - CSAE 2012 - Proceedings, 2012 IEEE International Conference on Computer Science and Automation Engineering
SP - 439
EP - 443
BT - CSAE 2012 - Proceedings, 2012 IEEE International Conference on Computer Science and Automation Engineering
T2 - 2012 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2012
Y2 - 25 May 2012 through 27 May 2012
ER -