Fast Fourier Transform for Guitar Tuner Synchronization

To produce appropriate chord harmonies on the guitar, tuning or tuning the strings is required. However, most guitar learners perform tuning manually based on hearing. This will certainly take a long time because, in the tuning process, the user must turn the string knob repeatedly to get a harmonio...

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Bibliographic Details
Published in:Ingénierie des systèmes d'Information Vol. 29; no. 5; pp. 1881 - 1890
Main Author: Setyoadi, Eddy Triswanto
Format: Journal Article
Language:English
Published: Edmonton International Information and Engineering Technology Association (IIETA) 01.10.2024
Subjects:
Algorithms
Automation
Design
Fast Fourier transformations
Fourier transforms
Frequency domain analysis
Fuzzy logic
Guitars
Instrument tuning
Music
Musical instruments
Signal processing
Strings
Time domain analysis
Time synchronization
Tuning
User interface
ISSN:1633-1311, 2116-7125
Online Access:Get full text
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Summary:To produce appropriate chord harmonies on the guitar, tuning or tuning the strings is required. However, most guitar learners perform tuning manually based on hearing. This will certainly take a long time because, in the tuning process, the user must turn the string knob repeatedly to get a harmonious and precise tone. Although there are currently many guitars tuning applications on Android, in the tuning process, users must turn the string knob manually. This research aims to create a tool called Learn Guitar Chords to perform the tuning process automatically, and the results are fast and accurate according to the frequency of standard guitar string tones using the Fast Fourier Transform (FFT) algorithm. FFT can convert signals from the time domain into the frequency domain, a series of numbers in the time domain f(x) is converted into the frequency domain f(u). Considering the test results using the black box testing method that has been carried out, it can be said that the Fast Fourier Transform-based guitar tuning synchronization design application on Android can obtain the frequency of user input properly. In addition, accuracy testing was also carried out by testing the tuning process by comparing it with 2 applications, namely Absolute Guitar and Guitar Tuner. The results obtained from the application comparison prove that the accuracy of the tuning process in the Learn Guitar Chords application is very good because it can produce the same results as other applications. Although the equal temperament scale is one of the most popular tuning techniques for stringed instruments, other techniques should also be considered because it is used in various musical instruments.
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ISSN:1633-1311
2116-7125
DOI:10.18280/isi.290520