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动态加载下电吉他弦声学参数的变化

Change in Acoustic Parameters of Electric Guitar Strings Under Dynamic Loading.

作者信息

Grzybowski Jakub, Wrzeciono Piotr, Bayat Hydayatullah

机构信息

Faculty of Applied Informatics and Mathematics, Warsaw University of Life Sciences, 02-776 Warsaw, Poland.

Institute of Information Technology, Warsaw University of Life Sciences, 02-776 Warsaw, Poland.

出版信息

Sensors (Basel). 2025 Jun 26;25(13):3989. doi: 10.3390/s25133989.

DOI:10.3390/s25133989
PMID:40648244
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12252302/
Abstract

The aim of our work was to investigate how electric guitar strings wear out. There are many myths about string wear. We decided to investigate what the wear process looks like in real life. In our work, sound processing methods such as DTFT and spectrogram were used. However, the most important research method is the use of time-frequency analysis to study the sound of the string and its wear process. Another key method used in our work is the application of a phenomenon known from psychoacoustics, pitch. In our work, we have been able to show that the use of pitch in combination with time-frequency analysis makes it possible to demonstrate string wear. This was not achievable for previously known methods. We have also shown that the string yield limit is exceeded immediately when the strings are placed on the guitar neck. This affects the sound equation of the string. In this work, we have proposed a transformation of the classical string equation so that it correctly describes the sound of the string as it is worn. The research method we have developed, combining pitch and time-frequency analysis, could presumably be used in the future to study the wear and tear of other vibrating systems, such as bridges and viaducts.

摘要

我们这项工作的目的是研究电吉他弦是如何磨损的。关于弦的磨损存在许多误解。我们决定探究在现实生活中磨损过程是怎样的。在我们的工作中,使用了诸如离散时间傅里叶变换(DTFT)和频谱图等声音处理方法。然而,最重要的研究方法是利用时频分析来研究弦的声音及其磨损过程。我们工作中使用的另一个关键方法是应用心理声学中已知的一种现象——音高。在我们的工作中,我们已经能够证明将音高与时频分析结合使用能够证明弦的磨损。这对于先前已知的方法来说是无法实现的。我们还表明,当弦放置在吉他琴颈上时,弦的屈服极限会立即被超过。这会影响弦的声音方程。在这项工作中,我们提出了经典弦方程的一种变换,以便它能正确描述弦在磨损时的声音。我们所开发的将音高与时频分析相结合的研究方法,大概在未来可用于研究其他振动系统,如桥梁和高架桥的磨损情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df60/12252302/4e0a14b20939/sensors-25-03989-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df60/12252302/8a3802041800/sensors-25-03989-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df60/12252302/cb06f7e5f405/sensors-25-03989-g0A2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df60/12252302/7ce09ee84eb2/sensors-25-03989-g0A3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df60/12252302/f5dbdf86d086/sensors-25-03989-g0A4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df60/12252302/728f643c2091/sensors-25-03989-g0A5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df60/12252302/4ccc65f1f730/sensors-25-03989-g0A6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df60/12252302/77aca97b62a8/sensors-25-03989-g0A7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df60/12252302/4e0a14b20939/sensors-25-03989-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df60/12252302/8a3802041800/sensors-25-03989-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df60/12252302/cb06f7e5f405/sensors-25-03989-g0A2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df60/12252302/7ce09ee84eb2/sensors-25-03989-g0A3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df60/12252302/f5dbdf86d086/sensors-25-03989-g0A4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df60/12252302/728f643c2091/sensors-25-03989-g0A5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df60/12252302/4ccc65f1f730/sensors-25-03989-g0A6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df60/12252302/77aca97b62a8/sensors-25-03989-g0A7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df60/12252302/4e0a14b20939/sensors-25-03989-g001.jpg

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本文引用的文献

1
Predicting the decay time of solid body electric guitar tones.预测实心电吉他音色的衰减时间。
J Acoust Soc Am. 2014 May;135(5):3045-55. doi: 10.1121/1.4871360.
2
Pitch perception.音高感知
Atten Percept Psychophys. 2009 Nov;71(8):1701-15. doi: 10.3758/APP.71.8.1701.