HRTF upsampling with a generative adversarial network using a gnomonic equiangular projection

arXiv:2306.05812v2 Announce Type: replace-cross
Abstract: An individualised head-related transfer function (HRTF) is very important for creating realistic virtual reality (VR) and augmented reality (AR) environments. However, acoustically measuring high-quality HRTFs requires expensive equipment and an acoustic lab setting. To overcome these limitations and to make this measurement more efficient HRTF upsampling has been exploited in the past where a high-resolution HRTF is created from a low-resolution one. This paper demonstrates how generative adversarial networks (GANs) can be applied to HRTF …

abstract adversarial arxiv augmented reality cs.cv cs.hc cs.lg cs.sd eess.as eess.sp environments equipment function generative generative adversarial network head lab limitations measurement measuring network projection quality reality transfer type virtual virtual reality