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Outstanding Article Award 2022 within Frontiers in Signal Processing for Paper on HRTF Interpolation

Simplified HRTF measurement systems allow acquiring full-spherical HRTF sets in regular rooms with considerably lower cost and effort. However, measuring HRTFs with such systems usually results in a small number of HRTFs, often sampled on irregular grids. To obtain high-quality full-spherical HRTF sets from such sparse irregularly sampled HRTF sets, advanced interpolation methods are required. In the article "Estimation of the Optimal Spherical Harmonics Order for the Interpolation of Head-Related Transfer Functions Sampled on Sparse Irregular Grids," the authors David Bau, Johannes M. Arend, and Christoph Pörschmann investigated time-aligned spherical harmonics (SH) interpolation of sparse irregularly sampled HRTF sets measured with a simplified measurement system developed in the course of David Bau's PhD project. The study proposes a method for estimating the optimal SH order for interpolating irregularly sampled HRTF sets and shows that time-aligned SH interpolation, optimally parameterized according to the proposed method, yields similarly good results as the interpolation of comparable regularly sampled HRTF sets.

We are pleased to announce that the study was selected for the 2022 Outstanding Article Award within Frontiers in Signal Processing. According to the journal, the article was recognized by the journal's Specialty Chief Editor and the editorial office for the impact that it is already having in the community as measured by early views and downloads, and as a great example of research in the Audio and Acoustic Signal Processing section.

Bau, D., Arend, J. M., & Pörschmann, C. (2022). Estimation of the Optimal Spherical Harmonics Order for the Interpolation of Head-Related Transfer Functions Sampled on Sparse Irregular Grids. Frontiers in Signal Processing2(884541), 1–13. https://doi.org/10.3389/frsip.2022.884541