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首页> 外文期刊>Chemical geology >Finite element generation of sibilants /s/ and /z/ using random distributions of Kirchhoff vortices
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Finite element generation of sibilants /s/ and /z/ using random distributions of Kirchhoff vortices

机译:有限元生成Sibilants / s / s / s / z /使用Kirchhoff涡旋的随机分布

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摘要

The numerical simulation of sibilant sounds in three-dimensional realistic vocal tracts constitutes a challenging problem because it involves a wide range of turbulent flow scales. Rotating eddies generate acoustic waves whose wavelengths are inversely proportional to the flow local Mach number. If that is low, very fine meshes are required to capture the flow dynamics. In standard hybrid computational aeroacoustics (CAA), where the incompressible Navier-Stokes equations are first solved to get a source term that is secondly input into an acoustic wave equation, this implies resorting to supercomputer facilities. As a consequence, only very short time intervals of the sibilant can be produced, which may be enough for its spectral characterization but insufficient to synthesize, for instance, an audio file from it or a syllable sound. In this work, we propose to substitute the aeroacoustic source term obtained from the computational fluid dynamics (CFD) in the first step of hybrid CAA, by a random distribution of Kirchhoff's spinning vortices, located in the region between the upper incisors and the lower lip. In this way, one only needs to solve a linear wave equation to generate a sibilant, and therefore avoids the costly large-scale computations. We show that our proposal can recover the outcomes of hybrid CAA simulations in average, and that it can be applied to generate sibilants /s/ and /z/. Modeling and implementation details of the Kirchhoff vortex distribution in a stabilized finite element code are discussed in the paper, as well as the outcomes of the simulations.
机译:三维逼真声乐道中SIBILANT声音的数值模拟构成了一个具有挑战性的问题,因为它涉及广泛的湍流鳞片。旋转漩涡产生声波,声波,其波长与流量局部马赫数成反比。如果这是低电平,则需要非常细的网格捕获流量动态。在标准混合计算空气声学(CAA)中,首先解决不可压缩的Navier-Stokes方程以获得第二输入到声波方程的源术语,这意味着借助超级计算机设施。结果,可以仅生产SIBILANT的非常短的时间间隔,这可能足以实现其光谱表征但不足以合成例如来自IT的音频文件或音节声音。在这项工作中,通过Kirchhoff的旋转涡流的随机分布,替代从杂交CAA的第一步中从计算流体动力学(CFD)中获得的空气声源项,位于上门牙和下唇之间的区域。 。以这种方式,只需要解决线性波动方程来生成SIBILANT,因此避免了昂贵的大规模计算。我们表明我们的提议平均恢复混合CAA模拟的结果,并且它可以应用于生成SIBILANTS / S /和/ Z /。本文讨论了稳定的有限元代码中Kirchhoff Vortex分布的建模和实施细节,以及模拟的结果。

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