Finite element generation of sibilants /s/ and /z/ using random distributions of Kirchhoff vortices

Producció científica: Article en revista indexadaArticleAvaluat per experts

7 Cites (Scopus)


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.

Idioma originalAnglès
Número d’articlee3302
RevistaInternational Journal for Numerical Methods in Biomedical Engineering
Estat de la publicacióPublicada - 1 de febr. 2020


Navegar pels temes de recerca de 'Finite element generation of sibilants /s/ and /z/ using random distributions of Kirchhoff vortices'. Junts formen un fingerprint únic.

Com citar-ho