collaborators

5 papers

eess.AS2026

Effects of HRTF Augmentation on Predicted Spatial Release from Masking in Music

Jack Webb, Christophe Lesimple, Volker Kuehnel +1

Separating individual musical instruments within a complex mixture of sounds poses a persistent challenge for listeners with hearing loss. Although spatial separation of sources im…

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.AS2026

Photogrammetry-Reconstructed 3D Head Meshes for Accessible Individual Head-Related Transfer Functions

Ludovic Pirard, Lorenzo Picinali, Katarina C. Poole

Individual head-related transfer functions (HRTFs) are essential for accurate spatial audio binaural rendering but remain difficult to obtain due to measurement complexity. This st…

cs.SD2025

HRTFformer: A Spatially-Aware Transformer for Individual HRTF Upsampling in Immersive Audio Rendering

Xuyi Hu, Jian Li, Shaojie Zhang +4

Individual Head-Related Transfer Functions (HRTFs) are starting to be introduced in many commercial immersive audio applications and are crucial for realistic spatial audio renderi…

eess.AS2025

Optimal Pairwise Comparison Procedures for Subjective Evaluation

Jack Webb, Lorenzo Picinali

Audio signal processing algorithms are frequently assessed through subjective listening tests in which participants directly score degraded signals on a unidimensional numerical sc…