most citedThe Extended SONICOM HRTF Dataset and Spatial Audio Metrics Toolbox

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

eess.AS2026

Numerical and perceptual validity of synthetic Head-Related Transfer Functions at scale

Katarina C. Poole, Lorenzo Picinali

Individually measuring head-related transfer functions (HRTFs) at scale remains a central challenge for personalised spatial audio, motivating growing interest in synthetic HRTFs.…

eess.AS2025

Enhancing Photogrammetry Reconstruction For HRTF Synthesis Via A Graph Neural Network

Ludovic Pirard, Katarina C. Poole, Lorenzo Picinali

Traditional Head-Related Transfer Functions (HRTFs) acquisition methods rely on specialised equipment and acoustic expertise, posing accessibility challenges. Alternatively, high-r…

q-bio.PE2025

Prospects for acoustically monitoring ecosystem tipping points

Neel P. Le Penru, Thomas M. Bury, Sarab S. Sethi +2

Many ecosystems can undergo important qualitative changes, including sudden transitions to alternative stable states, in response to perturbations or increments in conditions. Such…

eess.AS2025★ 1 cited

The Extended SONICOM HRTF Dataset and Spatial Audio Metrics Toolbox

Katarina C. Poole, Julie Meyer, Vincent Martin +7

Headphone-based spatial audio uses head-related transfer functions (HRTFs) to simulate real-world acoustic environments. HRTFs are unique to everyone, due to personal morphology, s…

eess.AS2025

EEG-Based Decoding of Sound Location: Comparing Free-Field to Headphone-Based Non-Individual HRTFs

Nils Marggraf-Turley, Martha Shiell, Niels Pontoppidan +2

Sound source localization relies on spatial cues such as interaural time differences (ITD), interaural level differences (ILD), and monaural spectral cues. Individually measured He…