Binaural Receiver Models for Wave-based Simulations in the Low Frequency Range
* Präsentierender Autor
Zusammenfassung:Today’s wave-based acoustic simulation tools allow to simulate the lower frequency range of complex acoustic scenes, e.g. in small rooms such as car cabins. During their design process, it is of great interest to auralize these rooms. In order to get a spatial impression, binaural receivers can be included in the simulations.A straightforward approach is to include the geometry of an artificial head. Meshing such a model including fine structures like the pinna leads to a high number of nodes which results in high computational effort. If only considering low frequencies, however, the wavelength is generally larger than those details so that their influence on the sound field can be neglected. This suggests that omitting these details has no significant influence on the performance of the model, while reducing the computational complexity.Thus, in the course of this work, multiple simplified models for binaural receivers are derived from an artificial head using basic mathematical bodies, e.g. ellipsoids. Then, the head-related transfer functions (HRTFs) of these models are simulated using the boundary element method (BEM) and are compared to the HRTF of the original model in order to investigate their frequency-dependent performance.