April 16, 2018
Sparse Head-Related Transfer Function Representation with Spatial Aliasing Cancellation
International Conference on Acoustics, Speech and Signal Processing
In this paper, a new technique to reconstruct high resolution individual HRTFs from sparse measurements is presented. This is achieved by minimizing the spatial aliasing error in the spherical harmonics (SH) representation of the HRTFs, and by incorporating statistics calculated from a set of reference HRTFs, leading to an optimal minimum mean-square error solution.
By: David Lou Alon, Zamir Ben-Hur, Boaz Rafaely, Ravish Mehra