activity
20232026
most citedMagnitude-Corrected and Time-Aligned Interpolation of Head-Related Transfer Functions

17 citations · 34 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SD2026

Statistical validation and full-sphere extension of a Bayesian model for human static sound localisation

Roberto Barumerli, Fabian Brinkmann, Emanuele Zanoni +3

Auditory models are central tools for studying spatial hearing, yet their validation typically relies on heuristic performance metrics rather than principled statistical methods. W…

eess.AS2025★ 2 cited

Loss functions incorporating auditory spatial perception in deep learning -- a review

Boaz Rafaely, Stefan Weinzierl, Or Berebi +1

Binaural reproduction aims to deliver immersive spatial audio with high perceptual realism over headphones. Loss functions play a central role in optimizing and evaluating algorith…

eess.AS2025★ 1 cited

Ambisonics Binaural Rendering via Masked Magnitude Least Squares

Or Berebi, Fabian Brinkmann, Stefan Weinzierl +1

Ambisonics rendering has become an integral part of 3D audio for headphones. It works well with existing recording hardware, the processing cost is mostly independent of the number…

math.NA2023★ 13 cited

NumCalc: An open source BEM code for solving acoustic scattering problems

Wolfgang Kreuzer, Katharina Pollack, Fabian Brinkmann +1

The calculation of the acoustic field in or around objects is an important task in acoustic engineering. To numerically solve this task, the boundary element method (BEM) is a comm…

eess.AS2023★ 1 cited

A Database with Directivities of Musical Instruments

David Ackermann, Fabian Brinkmann, Stefan Weinzierl

We present a database of recordings and radiation patterns of individual notes for 41 modern and historical musical instruments, measured with a 32-channel spherical microphone arr…

eess.AS2023★ 17 cited

Magnitude-Corrected and Time-Aligned Interpolation of Head-Related Transfer Functions

Johannes M. Arend, Christoph Pörschmann, Stefan Weinzierl +1

Head-related transfer functions (HRTFs) are essential for virtual acoustic realities, as they contain all cues for localizing sound sources in three-dimensional space. Acoustic mea…