2020
DOI: 10.1002/cnm.3302
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Finite element generation of sibilants /s/ and /z/ using random distributions of Kirchhoff vortices

Abstract: 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 t… Show more

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Cited by 8 publications
(5 citation statements)
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References 49 publications
(116 reference statements)
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“…To determine the relationship between the positions of the velocity fluctuations, i.e., the assumed aeroacoustic sound sources, and the far-field SPL spectra, instead of the base simulation with constant velocity inlet from the throat, the acoustic simulations with acoustic monopole sources were conducted for the 0° and 30° cases. In the previous acoustic studies, monopole to quadrupole sound sources were used to emulate the sound generated by the turbulent flow 29 , 30 . Therefore, for the simplicity, the monopole sources composed of white noise were applied in the current study at Point 1 (49.1, − 8.4, − 7.7) and Point 2 (58.5, − 7.7, − 4.5), which corresponded to the positions of maximum velocity fluctuations at 10 kHz for both models.…”
Section: Resultsmentioning
confidence: 99%
“…To determine the relationship between the positions of the velocity fluctuations, i.e., the assumed aeroacoustic sound sources, and the far-field SPL spectra, instead of the base simulation with constant velocity inlet from the throat, the acoustic simulations with acoustic monopole sources were conducted for the 0° and 30° cases. In the previous acoustic studies, monopole to quadrupole sound sources were used to emulate the sound generated by the turbulent flow 29 , 30 . Therefore, for the simplicity, the monopole sources composed of white noise were applied in the current study at Point 1 (49.1, − 8.4, − 7.7) and Point 2 (58.5, − 7.7, − 4.5), which corresponded to the positions of maximum velocity fluctuations at 10 kHz for both models.…”
Section: Resultsmentioning
confidence: 99%
“…For example, to generate a fricative sound, the biomechanical model should be able to form a precise, narrow constriction, which demands a refined tongue mesh with very small elements, and a detailed deformation control. Also, the acoustic model needs to handle turbulent noise 50‐52 …”
Section: Discussionmentioning
confidence: 99%
“…Also, the acoustic model needs to handle turbulent noise. [50][51][52] Regarding the muscle activation procedure, let us note that the utilized estimation for static vowels based on inversion of stylized articulatory trajectories is not the only option. Alternatives include, for example, the use of articulation data from EMMA or (static and/or real-time) MRI, or acoustic-to-articulatory inversion.…”
Section: Discussionmentioning
confidence: 99%
“…Voice generation based on articulatory speech synthesis has been significantly improved by considering three-dimensional (3D) source-filter models, surpassing the limitations of their one-dimensional counterparts [1,2]. These advanced models have demonstrated their ability to generate various speech utterances, including vowels [3], diphthongs [4,5], and vowel-consonant-vowel sequences incorporating fricatives [6,7]. Despite these accomplishments, the exploration of expressive voice synthesis using these 3D-based numerical simulations is still in its early stages due to its great complexity.…”
Section: Introductionmentioning
confidence: 99%