Spectral-based Features Ranking for Gamelan Instruments Identification using Filter Techniques
Abstract: In this paper, we describe an approach of
spectral-based features ranking for Javanese gamelan instruments identification
using filter techniques. The model extracted spectral-based features set of the
signal using Short Time Fourier Transform (STFT). The rank of the features was
determined using the five algorithms; namely ReliefF, Chi-Squared, Information
Gain, Gain Ratio, and Symmetric Uncertainty. Then, we tested the ranked
features by cross validation using Support Vector Machine (SVM). The experiment
showed that Gain Ratio algorithm gave the best result, it yielded accuracy of
98.93%.
Author: Aris Tjahyanto, Yoyon
K Suprapto, Diah P Wulandari
Journal Code: jptkomputergg130029