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HRTF Individualization: A Survey

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arxiv 2003.06183 v1 pith:FYA37G7J submitted 2020-03-13 eess.AS cs.SDeess.SP

classification eess.AScs.SDeess.SP
keywords hrtfhrtfsworkaboveaccomplishedadvantagesarticleassessed
verification ladder T0 review T1 audit T2 compute T3 formal
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The individuality of head-related transfer functions (HRTFs) is a key issue for binaural synthesis. While, over the years, a lot of work has been accomplished to propose end-user-friendly solutions to HRTF personalization, it remains a challenge. In this article we establish a state-of-the-art of that work. We classify the various proposed methods, review their respective advantages and disadvantages, and, above all, methodically check if and how the perceptual validity of the resulting HRTFs was assessed.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

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

    cs.SD 2025-10 conditional novelty 5.0 of 10

    HRTFformer reconstructs high-resolution head-related transfer functions from as few as three measured directions using a transformer in the spherical harmonic domain, beating prior methods in accuracy.

  2. ASAudio: A Survey of Advanced Spatial Audio Research

    eess.AS 2025-08 unverdicted novelty 3.0 of 10

    A comprehensive survey that systematically categorizes spatial audio research by representation, task, dataset, and evaluation.

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