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Express Paper

A Primer Review of Head-Related Transfer Function Interpolation Methods

Authors: Ranade, Shaunak; Chen, Pingkang; Tsuaye, Jeremy

Express Paper · Paper 389 · October 2025

Abstract

Interpolation has been applied in multiple fields such as geographic research and image resampling [1][2]. When speaking of interpolationnot limited to its application in HRTFit generally refers to constructing a function that passes exactly through all collected data points. Numerous methods have been developed for measuring Head- Related Transfer Functions (HRTFs) [3]. One of the key goals in these developments has been improving efficiency, which can be enhanced through the use of interpolation techniques [3]. Additionally, since HRTF measurements are inherently limited to discrete spatial positions, interpolation is commonly employed to estimate values at positions between the measured points [3]. This paper is a primer review of the existing HRTF interpolation strategies including global interpolation methods and local interpolation methods. Additionally, the use of various data-driven and deep learning techniques is extensively discussed to provide the latest development of such a topic.

Details

AES Convention
159
Paper number
389
Publication date
October 14, 2025
Affiliation
New York University; New York University; University of California, Santa Barbara (See document for exact affiliation information.)
Type
Express Paper