This demo shows how to train an own neural network to obtain localization estimates based on various conditions, subjective data, network parameters in the context of sound localization, or even for other purposes.
This demo requires the Deep Learning Toolbox. If not available, pre-calculated data will be downloaded and shown.
Lladó, Pedro, Hyvärinen, Petteri, and Pulkki, Ville. Auditory model-based estimation of the effect of head-worn devices on frontal horizontal localisation. Acta Acust., 6:1, 2022. [ DOI | http ]