Perfecting a Video Game with Game Metrics
Vol 11, No 1: March 2013

Spectral-based Features Ranking for Gamelan Instruments Identification using Filter Techniques

Aris Tjahyanto (Institut Teknologi Sepuluh Nopember)
Yoyon K Suprapto (Institut Teknologi Sepuluh Nopember)
Diah P Wulandari (Institut Teknologi Sepuluh Nopember)

Article Info

Publish Date
01 Mar 2013

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%.

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Journal Info
Perfecting a Video Game with Game Metrics
Website

Abbrev

TELKOMNIKA

Publisher

Universitas Ahmad Dahlan

Subject

Computer Science & IT

Description

Submitted papers are evaluated by anonymous referees by single blind peer review for contribution, originality, relevance, and presentation. The Editor shall inform you of the results of the review as soon as possible, hopefully in 10 weeks. Please notice that because of the great number of ...