Hybrid structure of inverse filtering and DOA-parameterized wavefront synthesis

Weakness against a user's position shifting is one of the most important problems of binaural reproduction using loudspeakers. In this paper we propose a new method of inverse filtering of room acoustics with high robustness against a user's position shifting by presenting a wavefront estimated from the binaural recording. To analyze and synthesize the wavefront, we introduce a new physical modelling of the superimposition of the wavefronts weighted by multiple sound sources. By following the fluctuation of the wavefront with a time-varying filter, the analysis and synthesis overcome the limitation of the number of sound sources. Utilizing arbitrary components of the generalized inverse matrix, wavefront approximation does not degrade the accuracy of reproduction at the controlled area of the inverse filter.