Abschlussarbeit

Simplified binaural receivers for low frequency range acoustical simulations

Bachelorarbeit von Pelinski Ramos, Teresa

This thesis addresses the geometrical modelling for binaural receivers in numerical acoustic simulations in the low frequency range. Within this range, the wavelength is usually large in comparison to the fine structure of head and torso. Consequently, geometric details, such as the pinna or the nose, have no significant influence on the head-related transfer functions (HRTFs). This suggests that for low frequencies, binaural receivers can be modelled using a simplified geometry to reduce the number of mesh nodes (and therefore the computational complexity) without compromising the accuracy of the simulation results. In the course of this thesis, different simplified geometrical models for binaural receivers for low frequency range simulations will be discussed. In order to evaluate the performance of these models, the corresponding HRTFs will be simulated using the boundary element method (BEM) and compared to measured HRTFs. As an indicator of the computational complexity, the number of required mesh nodes will be evaluated for different frequencies. This thesis addresses the geometrical modelling for binaural receivers in numerical acoustic simulations in the low frequency range. Within this range, the wavelength is usually large in comparison to the fine structure of head and torso. Consequently, geometric details, such as the pinna or the nose, have no significant influence on the head-related transfer functions (HRTFs). This suggests that for low frequencies, binaural receivers can be modelled using a simplified geometry to reduce the number of mesh nodes (and therefore the computational complexity) without compromising the accuracy of the simulation results. In the course of this thesis, different simplified geometrical models for binaural receivers for low frequency range simulations will be discussed. In order to evaluate the performance of these models, the corresponding HRTFs will be simulated using the boundary element method (BEM) and compared to measured HRTFs. As an indicator of the computational complexity, the number of required mesh nodes will be evaluated for different frequencies.