4 papers
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…
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…
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…
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…