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All Journal JAREE (Journal on Advanced Research in Electrical Engineering)
Andi Rokhman Hermawan
Institut Teknologi Sepuluh Nopember
Control & Systems Engineering Electrical & Electronics Engineering

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Gamelan Demung Music Transcription Based on STFT Using Deep Learning Andi Rokhman Hermawan; Eko Mulyanto Yuniarno; Diah Puspito Wulandari
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 6, No 2 (2022): October
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v6i2.276

Abstract

Learning to play a gamelan instrument would be easier when there’s a musical notation guide. The process of converting a musical signal into a notation guide is called transcription. In this paper, we would like to transcript the gamelan music especially the Demung instrument using the Deep Learning method. Each Demung’s note from 6-low until 1-high would be converted to the time-frequency domain using STFT (Short-Time Fourier Transform). Then, those data will be treated as an input for the multilayers perceptron. The training method is a single label of each notation. The output returned by the model is a music roll transcription.
Co-Authors Diah Puspito Wulandari Eko Mulyanto Yuniarno