Feature Extraction of Musical Instrument Tones using FFT and Segment Averaging
Abstract: 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.
Author: Linggo Sumarno,
Iswanjono
Journal Code: jptkomputergg170025
