Spherical Harmonics Based HRTF Datasets: Implementation and Evaluation for Real-Time Auralization
Jan-Gerrit Richter, Martin Pollow, Frank Wefers, Janina Fels · Acta acustica united with Acustica · 2014
HRTF filters used in most binaural synthesis application stem from a discrete set of either measured or simulated far-field data. While this data format allows fast filter generation times and is fairly straightforward to use, correct filter representation is only possible for the measured points while an interpolation is needed between the points. As these interpolated filters are not a physically correct representation of the HRTF, this approach is not suited for the auralization of very small head movements that humans tend to do to improve localization [1]. For the auralization of sources in the vicinity of the listener the near-field HRTF is important [2]. With discrete HRTF data sets, multiple measurements for different distances have to be combined to account for this.