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Journal Article Open Access

The SONICOM HRTF Dataset

Authors: Engel, Isaac; Daugintis, Rapolas; Vicente, Thibault; Hogg, Aidan O. T.; Pauwels, Johan; Tournier, Arnaud J.; Picinali, Lorenzo

Journal of the Audio Engineering Society · Volume 71 · Issue 5 · pp. 241–253 · May 2023

Abstract

Immersive audio technologies, ranging from rendering spatialized sounds accurately to efficient room simulations, are vital to the success of augmented and virtual realities. To produce realistic sounds through headphones, the human body and head must both be taken into account. However, the measurement of the influence of the external human morphology on the sounds incoming to the ears, which is often referred to as head-related transfer function (HRTF), is expensive and time-consuming. Several datasets have been created over the years to help researcherswork on immersive audio; nevertheless, the number of individuals involved and amount of data collected is often insufficient for modern machine-learning approaches. Here, the SONICOM HRTF dataset is introduced to facilitate reproducible research in immersive audio. This dataset contains the HRTF of 120 subjects, as well as headphone transfer functions; 3D scans of ears, heads, and torsos; and depth pictures at different angles around subjects' heads.

Details

Publication
Journal of the Audio Engineering Society
Volume
71
Issue
5
Pages
241–253
Publication date
May 6, 2023
Affiliation
Audio Experience Design (www.axdesign.co.uk), Imperial College London, London, United Kingdom (See document for exact affiliation information.)
Type
Journal Article