Download HRTF Spatial Upsampling in the Spherical Harmonics Domain Employing a Generative Adversarial Network A Head-Related Transfer Function (HRTF) is able to capture alterations a sound wave undergoes from its source before it reaches the entrances of a listener’s left and right ear canals, and is imperative for creating immersive experiences in virtual and augmented reality (VR/AR). Nevertheless, creating personalized HRTFs demands sophisticated equipment and is hindered by time-consuming data acquisition processes. To counteract these challenges, various techniques for HRTF interpolation and up-sampling have been proposed. This paper illustrates how Generative Adversarial Networks (GANs) can be applied to HRTF data upsampling in the spherical harmonics domain. We propose using Autoencoding Generative Adversarial Networks (AE-GAN) to upsample lowdegree spherical harmonics coefficients and get a more accurate representation of the full HRTF set. The proposed method is benchmarked against two baselines: barycentric interpolation and HRTF selection. Results from log-spectral distortion (LSD) evaluation suggest that the proposed AE-GAN has significant potential for upsampling very sparse HRTFs, achieving 17% improvement over baseline methods.
Download Decoding Sound Source Location From EEG: Preliminary Comparisons of Spatial Rendering and Location Spatial auditory acuity is contingent on the quality of spatial cues presented during listening. Electroencephalography (EEG) shows promise for finding neural markers of such acuity present in recorded neural activity, potentially mitigating common challenges with behavioural assessment (e.g., sound source localisation tasks). This study presents findings from three preliminary experiments which investigated neural response variations to auditory stimuli under different spatial listening conditions: free-field (loudspeakerbased), individual Head-Related Transfer-Functions (HRTF), and non-individual HRTFs. Three participants, each participating in one experiment, were exposed to auditory stimuli from various spatial locations while neural activity was recorded via EEG. The resultant neural responses underwent a decoding protocol to asses how decoding accuracy varied between stimuli locations over time. Decoding accuracy was highest for free-field auditory stimuli, with significant but lower decoding accuracy between left and right hemisphere locations for individual and non-individual HRTF stimuli. A latency in significant decoding accuracy was observed between listening conditions for locations dominated by spectral cues. Furthermore, findings suggest that decoding accuracy between free-field and non-individual HRTF stimuli may reflect behavioural front-back confusion rates.