Evaluating the Consistency Between Numerical Calculation and Acoustic Measurement of Head-Related Transfer Functions

In the validation of numerically calculated Head-Related Transfer Functions (HRTFs), acoustic measurements are often considered the ground truth. This study demonstrates that discrepancies between the numerical and measured HRTFs do not necessarily indicate inaccuracies in the numerical calculations. Factors contributing to these discrepancies were systematically examined using KEMAR by calculating HRTFs with two mainstream numerical methods: Mesh2HRTF and the Finite Difference Time Domain (FDTD) approaches. For the FDTD method, the optimal virtual microphone placement was found to be within 3 mm of the ear canal mesh entrance. In numerical calculations, the spatial correlation of spectra computed with shoulder-inclusive meshes and full-torso meshes exceeded 0.9 in the low-frequency (<4 kHz) region of the median plane. This suggests that the shoulders within the torso are the primary contributors to elevation-direction HRTF variations. Furthermore, consistencies among different numerical methods, measurement datasets, and simulated versus measured HRTFs were evaluated. The results show that, for the dummy head, the similarity between the numerical and measured HRTFs was no less than the similarity observed among separate measurement datasets. Numerical calculations demonstrated greater stability than acoustic measurements, particularly in human-related scenarios where maintaining measurement consistency is challenging. These findings suggest that accurate head modeling combined with numerical simulation offers a promising approach for obtaining high-accuracy individualized HRTFs.

Authors

Institutions

Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3596332
Primary Topic
Vehicle Noise and Vibration Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating the Consistency Between Numerical Calculation and Acoustic Measurement of Head-Related Transfer Functions

Kan Okubo, Chang Yu Sun
IEEE Access
Vehicle Noise and Vibration Control
article

Evaluating the Consistency Between Numerical Calculation and Acoustic Measurement of Head-Related Transfer Functions

Kan Okubo, Chang Yu Sun
article en

Abstract

In the validation of numerically calculated Head-Related Transfer Functions (HRTFs), acoustic measurements are often considered the ground truth. This study demonstrates that discrepancies between the numerical and measured HRTFs do not necessarily indicate inaccuracies in the numerical calculations. Factors contributing to these discrepancies were systematically examined using KEMAR by calculating HRTFs with two mainstream numerical methods: Mesh2HRTF and the Finite Difference Time Domain (FDTD) approaches. For the FDTD method, the optimal virtual microphone placement was found to be within 3 mm of the ear canal mesh entrance. In numerical calculations, the spatial correlation of spectra computed with shoulder-inclusive meshes and full-torso meshes exceeded 0.9 in the low-frequency (<4 kHz) region of the median plane. This suggests that the shoulders within the torso are the primary contributors to elevation-direction HRTF variations. Furthermore, consistencies among different numerical methods, measurement datasets, and simulated versus measured HRTFs were evaluated. The results show that, for the dummy head, the similarity between the numerical and measured HRTFs was no less than the similarity observed among separate measurement datasets. Numerical calculations demonstrated greater stability than acoustic measurements, particularly in human-related scenarios where maintaining measurement consistency is challenging. These findings suggest that accurate head modeling combined with numerical simulation offers a promising approach for obtaining high-accuracy individualized HRTFs.

IEEE AccessVol. 13
Tokyo Metropolitan University (JP)
Openalex Percentile: Top 79%
Vehicle Noise and Vibration Control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.