Implementasi Sintesis Suara Saron Menggunakan Petikan Senar Gitar Dengan Metode Pitch Shifting

Gamelan is traditional Indonesian musical instruments that is often used in traditional events and parties.The community's need for the gamelan has actually increased, but unfortunately the price of gamelan is very expensive and the gamelan itself is difficult to move from one place to another...

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Main Authors: Andreas Febrillianto Primawan, Yohannes Suyanto, Catur Atmaji
Format: Article
Language:Indonesian
Published: Universitas Gadjah Mada 2023-04-01
Series:IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)
Subjects:
Online Access:https://jurnal.ugm.ac.id/ijeis/article/view/80818
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author Andreas Febrillianto Primawan
Yohannes Suyanto
Catur Atmaji
author_facet Andreas Febrillianto Primawan
Yohannes Suyanto
Catur Atmaji
author_sort Andreas Febrillianto Primawan
collection DOAJ
description Gamelan is traditional Indonesian musical instruments that is often used in traditional events and parties.The community's need for the gamelan has actually increased, but unfortunately the price of gamelan is very expensive and the gamelan itself is difficult to move from one place to another place. Besides that, the limited tones that can be played by gamelan reduce the level of public interest in playing this instrument. Current technological developments make it possible to perform voice synthesis with several methods. One method that can be used is pitch shifting. This study aims to generate a synthetic saron sound based on plucking a guitar string. Analysis of the saron sound signal in the frequency domain is carried out to obtain the semitone values needed in the synthesis process. Synthetic saron signal generation is done by calling synthetic saron sounds that are stored in soundfont form, with reference data in the form of high and low pitch obtained from the guitar input pitch detection. Onset detection of guitar strokes is used as the initial trigger for calling out synthetic saron tones. The test was carried out by looking for similarities between the sound data of the original saron and synthetic saron using the cross-correlation method. The test results obtained a similarity accuracy rate of 91.6%. On the results of testing the guitar strum signal with the generation output, the average delay time for each strum is 0.152 seconds. From the results obtained, the system is classified as fast and accurate enough to be implemented in everyday life.
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spelling doaj.art-53b909434aea44258a04da00e7e1a4962023-09-19T08:45:58ZindUniversitas Gadjah MadaIJEIS (Indonesian Journal of Electronics and Instrumentation Systems)2088-37142460-76812023-04-01131697810.22146/ijeis.8081833690Implementasi Sintesis Suara Saron Menggunakan Petikan Senar Gitar Dengan Metode Pitch ShiftingAndreas Febrillianto Primawan0Yohannes Suyanto1Catur Atmaji2Program Studi Elektronika dan Instrumentasi, FMIPA UGM, YogyakartaDepartemen Ilmu Komputer dan Elektronika, FMIPA UGM, YogyakartaDepartemen Ilmu Komputer dan Elektronika, FMIPA UGM, YogyakartaGamelan is traditional Indonesian musical instruments that is often used in traditional events and parties.The community's need for the gamelan has actually increased, but unfortunately the price of gamelan is very expensive and the gamelan itself is difficult to move from one place to another place. Besides that, the limited tones that can be played by gamelan reduce the level of public interest in playing this instrument. Current technological developments make it possible to perform voice synthesis with several methods. One method that can be used is pitch shifting. This study aims to generate a synthetic saron sound based on plucking a guitar string. Analysis of the saron sound signal in the frequency domain is carried out to obtain the semitone values needed in the synthesis process. Synthetic saron signal generation is done by calling synthetic saron sounds that are stored in soundfont form, with reference data in the form of high and low pitch obtained from the guitar input pitch detection. Onset detection of guitar strokes is used as the initial trigger for calling out synthetic saron tones. The test was carried out by looking for similarities between the sound data of the original saron and synthetic saron using the cross-correlation method. The test results obtained a similarity accuracy rate of 91.6%. On the results of testing the guitar strum signal with the generation output, the average delay time for each strum is 0.152 seconds. From the results obtained, the system is classified as fast and accurate enough to be implemented in everyday life.https://jurnal.ugm.ac.id/ijeis/article/view/80818gamelanpitch shiftingonset detectioncross correlation
spellingShingle Andreas Febrillianto Primawan
Yohannes Suyanto
Catur Atmaji
Implementasi Sintesis Suara Saron Menggunakan Petikan Senar Gitar Dengan Metode Pitch Shifting
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)
gamelan
pitch shifting
onset detection
cross correlation
title Implementasi Sintesis Suara Saron Menggunakan Petikan Senar Gitar Dengan Metode Pitch Shifting
title_full Implementasi Sintesis Suara Saron Menggunakan Petikan Senar Gitar Dengan Metode Pitch Shifting
title_fullStr Implementasi Sintesis Suara Saron Menggunakan Petikan Senar Gitar Dengan Metode Pitch Shifting
title_full_unstemmed Implementasi Sintesis Suara Saron Menggunakan Petikan Senar Gitar Dengan Metode Pitch Shifting
title_short Implementasi Sintesis Suara Saron Menggunakan Petikan Senar Gitar Dengan Metode Pitch Shifting
title_sort implementasi sintesis suara saron menggunakan petikan senar gitar dengan metode pitch shifting
topic gamelan
pitch shifting
onset detection
cross correlation
url https://jurnal.ugm.ac.id/ijeis/article/view/80818
work_keys_str_mv AT andreasfebrilliantoprimawan implementasisintesissuarasaronmenggunakanpetikansenargitardenganmetodepitchshifting
AT yohannessuyanto implementasisintesissuarasaronmenggunakanpetikansenargitardenganmetodepitchshifting
AT caturatmaji implementasisintesissuarasaronmenggunakanpetikansenargitardenganmetodepitchshifting