ASSDSPMar 13, 2020

HRTF Individualization: A Survey

arXiv:2003.06183v142 citations
AI Analysis

This is an incremental survey that synthesizes knowledge for researchers and practitioners in audio and VR fields.

The paper surveys existing methods for personalizing head-related transfer functions (HRTFs) to address the challenge of individualization in binaural synthesis, reviewing their advantages, disadvantages, and perceptual validity assessments.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes