Science and Research
|ISSN 2619-9955 | eISSN 2619-9963 | Frequency:4/year | Peer Reviewed: Yes | UIKTEN Publisher|
Identifying Different Musical Instrument Sounds Using Fourier Analysis in LabVIEW
© 2022 Nihat Pamuk, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 International. (CC BY-NC 4.0).
Citation Information: SAR Journal. Volume 5, Issue 4, Pages 175-182, ISSN 2619-9955, https://doi.org/10.18421/SAR54-02, December 2022.
Received: 01 November 2022.
Revised: 27 November 2022.
Accepted: 03 December 2022.
Published: 26 December 2022.
In this study, we found that the relationship between the Fast Fourier Transform (FFT) and music is more suitable than other methods. The LabVIEW program is capable of implementing the FFT in a shorter time, which is used to convert a signal from the time zone into a frequency field. FFT was used to find harmonics in musical notes, model sound waves, and define sound by breaking it into pieces. The amplitude of the sound received from the filtered analog input after FFT is applied is kept above the amplitude threshold level to prevent noise (low voice). If the frequency of the selected tuning note is in the specified frequency (despite possible deviations) range, tuning control is provided and the notation is performed. At the same time, spectral analysis can be examined thanks to FFT. The user can select the instrument and note they want on the interface screen. In the application, it was ensured to examine the notation and tuning process used in the intended standard reference data.
Keywords – notation, tuning, Fast Fourier Transform, amplitude level, LabVIEW.