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Comparison of trumpets' sounds played by a musician or simulated by physical modelling

机译:音乐家演奏或通过物理模型模拟的小号声音的比较

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摘要

This paper addresses the use of sound simulations for instrument characterization. It focuses on the ability of simulations by physical modelling to create sounds characteristic of a given instrument. The harmonic balance technique is used to generate trumpet sounds in permanent regime. The input parameters of the simulations are the input impedance of the trumpet (resonator), the control parameters are the characteristics of the virtual musician (excitator), and the outputs of the simulations are the playing frequency and the magnitude of the 6 first harmonics of the notes. Three different trumpets, obtained by small geometrical variations of the leadpipe, are first simulated using several virtual musicians, and second played by a "real" musician. These two populations of sounds, generated with different dynamics, are characterized by the playing frequency, the spectral centroid and the spectral irregularity, and their spectrum in permanent regime. Results show first that even for steady dynamics, the spectra of the two populations are very different. But convergent differences between the instruments for the simulated and the played sounds can be noticed. Principal Component Analysis (PCA) and Discriminant Analysis (DA) are used to study the influence of the musician, virtual or real, on the spectrum of the sounds. For steady dynamics sounds, the simulated sounds are clearly differentiated. For sounds played by the musician, the variability due to the musician is in the same order than those of the instruments. The similarities between the simulated sounds and those played by a musician are next studied for different dynamics. To compare the influence of the instrument, an ANOVA (Analysis of Variance) model is fitted to the data for the 3 descriptors of the sounds (playing frequency, spectral centroid and spectral irregularity). Results show interesting similarities in the influence of the instrument on these 3 descriptors. Simulations could be used to predict certain characteristics of the sounds of an instrument, opening the door to virtual acoustics for instrument making.
机译:本文介绍了声音模拟在仪器表征中的应用。它着重于通过物理建模进行仿真以创建给定乐器的声音特征的能力。谐波平衡技术用于在永久状态下产生小号声音。模拟的输入参数是小号(谐振器)的输入阻抗,控制参数是虚拟音乐家(激励器)的特性,模拟的输出是演奏频率和6个次谐波的大小。笔记。通过导管的微小几何变化获得的三个不同的小号,首先使用多个虚拟音乐家进行模拟,然后由“真实”音乐家演奏。这两种声音,以不同的动力产生,其特征在于演奏频率,频谱质心和频谱不规则性,以及它们在永久状态下的频谱。结果首先表明,即使对于稳定的动力学,两个种群的光谱也有很大差异。但是可以注意到,模拟乐器和演奏乐器之间的收敛差异。主成分分析(PCA)和判别分析(DA)用于研究虚拟或真实音乐家对声音频谱的影响。对于稳定的动态声音,模拟声音会明显区分。对于音乐家演奏的声音,由音乐家引起的变异性与乐器的变异性相同。接下来针对不同的动力学研究模拟声音与音乐家演奏的声音之间的相似性。为了比较乐器的影响,将ANOVA(方差分析)模型拟合到声音的三个描述符(演奏频率,频谱质心和频谱不规则性)的数据。结果显示该仪器对这三个描述符的影响有趣的相似之处。模拟可用于预测乐器声音的某些特性,从而为制作乐器的虚拟声学打开了大门。

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