GDL

Journal from gdlhub / 2017-11-08 09:31:15
Oleh : Linggo Sumarno, I. Iswanjono, Telkomnika
Dibuat : 2017-11-08, dengan 1 file

Keyword : feature extraction; musical instrument tones; Fast Fourier Transform; segment averaging
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/3381
Sumber pengambilan dokumen : WEB

A feature extraction for musical instrument tones that based on a transform domain approach was proposed in this paper. The aim of the proposed feature extraction was to get the lower feature extraction coefficients. In general, the proposed feature extraction was carried out as follow. Firstly, the input signal was transformed using FFT (Fast Fourier Transform). Secondly, the left half of the transformed signal was divided into a number of segments. Finally, the averaging results of that segments, was the feature extraction of the input signal. Based on the test results, the proposed feature extraction was highly efficient for the tones, which have many significant local peaks in the Fourier transform domain, because it only required at least four feature extraction coefficients, in order to represent every tone.

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