Yoel Samosir
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Konversi Suara ke MIDI Menggunakan Short Time Fourier Transform Sebagai Virtual Midi Controller Pada Digital Audio Workstation Yoel Samosir; I Ketut Gede Suhartana; I Gusti Ngurah Anom Cahyadi Putra
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 2 (2023): JELIKU Volume 12 No 2, November 2023
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2023.v12.i02.p24

Abstract

Music is inseparable from everyday life, and its demand continues to increase with technological advancements. Amateur music producers are increasingly using digital equipment such as MIDI controllers to create music independently. However, MIDI controllers generally come with a high price tag, and not all musicians have the ability to play the piano or keyboard. This research develops a method for converting sound into MIDI format using the Short-Time Fourier Transform (STFT) and analyzes the accuracy of pitch detection and the reliability of the generated information. Audio recordings from various musical instruments and human voices are used as input in a web-based system. The STFT method is applied to the audio signal to identify and convert pitches into MIDI notations. The analysis results show that the STFT method is capable of producing adequate accuracy in pitch detection, reaching 24.216621%.Factors such as audio quality, STFT parameters, and threshold settings significantly influence the conversion results. Using good audio quality, selecting appropriate STFT parameters, and optimizing the threshold settings can improve pitch detection accuracy.