In a previous publication [1] we introduced a method for Spherical Array Interpolation by Time Align- ment (SARITA). The basic idea of this method is to spatially upsample the input signals of spherical microphone arrays by adding virtual microphone signals, which are interpolated by an appropriate weighting of the time and amplitude differences of the signals of the neighboring microphones. In this study, we apply the method to head-related impulse responses (HRIRs) and combine it with other state-of-the-art pre- and postprocessing methods. For technical evaluation, we compare the performance of the SARITA method with other HRIR interpolation methods. The results show that the SARITA method performs similar to current state-of-the-art methods. Further advantages, such as higher robustness of SARITA to noise and measurement artifacts compared to the other methods, are briefly discussed.

Authors: Pörschmann, Christoph; Lübeck, Tim; Arend, Johannes M.
Affiliations: Institute of Computer and Communication Technology, TH Köln - University of Applied Sciences, D-50679 Cologne, Germany; Institute of Computer and Communication Technology, TH Köln - University of Applied Sciences, D-50679 Cologne, Germany; Audio Communication Group, Technische Universität Berlin, D-10587 Berlin, Germany; Audio Communication Group, Technische Universität Berlin, D-10587 Berlin, Germany(See document for exact affiliation information.)
AES Conference: AES 2023 International Conference on Spatial and Immersive Audio (August 2023)
Paper Number: 22
Publication Date: August 23, 2023
Subject: Paper

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