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一种使用激光位移传感器分析古典吉他琴身模态的三维方法。

A Three-Dimensional Method for Analysis of the Body Mode of Classical Guitars Using a Laser Displacement Sensor.

作者信息

Su Kuan-Cheng, Hsieh Tsung-Yu, Lin Wei-Chih, Hsiao Fu-Li, Ryzhkova Tatyana, Chen Chii-Chang

机构信息

Department of Optics and Photonics, National Central University, Jhung-Li, Taoyuan 320, Taiwan.

Institute of Photonics, National Changhua University of Education, Changhua 500, Taiwan.

出版信息

Sensors (Basel). 2024 Aug 9;24(16):5147. doi: 10.3390/s24165147.

DOI:10.3390/s24165147
PMID:39204843
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11360423/
Abstract

In classical guitar acoustic spectra, the lowest frequency body mode's amplitude often significantly surpasses that of the string overtones. However, the characteristics of the body mode have not been systematically utilized to quantitatively represent the timbre of classical guitars. In this study, we propose a quantitative method for describing the body mode, which can effectively differentiate the timbre of classical guitars. Our approach involves three key parameters presented in a three-dimensional space, as follows: the frequency and quality factors of the body mode, along with the amplitude ratio of the plucked string note to the body mode in the soundboard's vibration spectrum. This representation allows for the visualization, quantitative comparison, and classification of the body mode note and damping properties across classical guitars. The differences in body mode among guitars can be analyzed quantitatively using Euclidean distance.

摘要

在古典吉他的声谱中,最低频率的琴身模态的振幅通常会显著超过弦的泛音的振幅。然而,琴身模态的特性尚未被系统地用于定量表征古典吉他的音色。在本研究中,我们提出了一种描述琴身模态的定量方法,该方法可以有效地区分古典吉他的音色。我们的方法涉及在三维空间中呈现的三个关键参数,具体如下:琴身模态的频率和品质因数,以及在音板振动谱中拨弦音与琴身模态的振幅比。这种表示方式允许对古典吉他的琴身模态音和阻尼特性进行可视化、定量比较和分类。可以使用欧几里得距离对吉他之间的琴身模态差异进行定量分析。

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本文引用的文献

1
Model-predicted geometry variations to compensate material variability in the design of classical guitars.在古典吉他设计中,用于补偿材料变异性的模型预测几何变化。
Sci Rep. 2023 Aug 7;13(1):12766. doi: 10.1038/s41598-023-37943-y.
2
A Review of Research on the Neurocognition for Timbre Perception.音色感知的神经认知研究综述
Front Psychol. 2022 Mar 29;13:869475. doi: 10.3389/fpsyg.2022.869475. eCollection 2022.
3
An entirely reverse-engineered finite element model of a classical guitar in comparison with experimental data.
与实验数据相比的古典吉他的完全逆向工程有限元模型。
J Acoust Soc Am. 2021 Jun;149(6):4450. doi: 10.1121/10.0005310.
4
Perceptual scaling of synthesized musical timbres: common dimensions, specificities, and latent subject classes.合成音乐音色的感知缩放:共同维度、特异性和潜在主体类别。
Psychol Res. 1995;58(3):177-92. doi: 10.1007/BF00419633.