Binaural Rendering of Dynamic Head and Sound Source Orientation Using High-Resolution HRTF and Retarded Time

Abstract

This paper is devoted to high-fidelity implementation of HRTF-based binaural rendering with fast head and source rotations in virtual acoustic reality. With an intuitive physical standpoint, we argue that head rotations should be rendered by a convolution model anchored in the sound receive-time. Conversely, the rendering of moving sound sources should be anchored in the sound emission-time, using retarded HRTF. Distant sound sources with bulk delay on the impulse response are handled efficiently by substituting the delay by additional retardation. The proposed rendering engine can utilize fast changing filter coefficients from a high resolution HRTF and satisfies some acoustic features as Doppler shift and dislocation inherently, which have been treated separately in conventional approaches or are neglected at all. To benchmark our rendering engine, we compare these acoustic features of the rendered signal with corresponding physical expectations.