- Open Access
- Article
Software Development and Application for Sound Wave Analysis
by Eunsung Jekal 1,* 
, Juhyun Ku, 2 and Hyoeun Park 2,3
1 Jekal’s laboratory, Republic of Korea
2 Ulsan Pianist Club, Republic of Korea
3 Scala music institute, Republic of Korea
* Author to whom correspondence should be addressed.
Journal of Engineering Research and Sciences, Volume 4, Issue 3, Page # 8-21, 2024; DOI: 10.55708/js0403002
Keywords: Short-time Fourier transform, non-negative matrix decomposition, music, piano
Received: 14 January 2025, Revised: 15 February 2024, Accepted: 16 February 2025, Published Online: 31 March 2025
(This article belongs to the Special Issue Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 & Section Biochemical Research Methods (BRM))
APA Style
Jekal, E., Ku, J., & Park, H. (2025). Software development and application for sound wave analysis. Journal of Engineering Research and Sciences, 4(3), 8–21. https://doi.org/10.55708/js0403002
Chicago/Turabian Style
Jekal, E., J. Ku, and H. Park. 2025. “Software Development and Application for Sound Wave Analysis.” Journal of Engineering Research and Sciences 4 (3): 8–21. https://doi.org/10.55708/js0403002.
IEEE Style
E. Jekal, J. Ku, and H. Park, “Software development and application for sound wave analysis,” J. Eng. Res. Sci., vol. 4, no. 3, pp. 8–21, 2025, doi: 10.55708/js0403002.
In this paper, we developed our own software that can analyze piano performance by using short-time Fourier transform, non-negative matrix decomposition, and root mean square. Additionally, we provided results that reflected the characteristics and signal analysis of various performers for the reliability of the developed software. The software was coded through Python, and it actively utilized Fourier transform to enable precise determination of the information needed to perform a performer’s music, such as touch power, speed, and pedals. In conclusion, it shows the possibility that musical flow and waveform analysis can be visually interpreted in a variety of ways. Based on this, we were able to derive an additional approach suitable for designing the system to seamlessly connect hearing and vision.
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