Conference SENATIK STT Adisutjipto Yogyakarta
Vol 5 (2019): Peran Teknologi untuk Revitalisasi Bandara dan Transportasi Udara [ISBN 978-602-52742-

Musical Instrument Tone Recognition Using DCT Based Feature Extraction And Gaussian Windowing

Linggo Sumarno (Sanata Dharma University)



Article Info

Publish Date
10 Dec 2019

Abstract

The conducted research studied a feature extraction method in a musical instrument tone recognition system. The purpose of this study was to obtain a number of feature extraction coefficients that are smaller than those obtained in previous studies. The studied feature extraction was a DCT (Discrete Cosine Transform)-based segment averaging and Gaussian windowing. The testing of the musical instrument's tone recognition system was carried out using pianica, tenor recorder, and bellyra musical instruments, each of which represented many, several, and one significant local peaks in the transform domain. The test results showed that the optimal number of feature extraction coefficient was 8 coefficients, which could give a recognition rate of up to 100%. The test results were achieved using a Gaussian window with a sigma value of 2-6, and a 128 points DCT.

Copyrights © 2019






Journal Info

Abbrev

senatik

Publisher

Subject

Aerospace Engineering Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering

Description

SENATIK merupakan jurnal proceeding seminar nasional teknologi informasi dan kedirgantaraan yang dikelola Pusat Penelitian,dan Pengabdian kepada Masyarakat (P3M) Sekolah Tinggi Teknologi Adisutjipto Yogyakarta. Jurnal ini diterbitkan dalam jangka waktu setahun sekali, dalam bentuk off line/ buku ...