TY - JOUR
T1 - Ear centering in the spatial and transform domains for near-field head-related transfer functions
AU - Salvador, César
AU - Urviola, Ayrton
AU - Sakamoto, Shuichi
N1 - Publisher Copyright:
© ICA 2022.All rights reserved
PY - 2022
Y1 - 2022
N2 - The head-related transfer function (HRTF) is a major tool in spatial audio. The HRTF for a point source is defined as the ratio between the sound pressure at the ear position and the free-field sound pressure at a reference position. The reference is typically placed at the center of the head. However, when using spherical Fourier transforms (SFT) and distance-varying filters (DVF) to synthesize HRTFs for point sources very close to the head, the synthesized HRTF assumes that the measurement position and the reference position are the same. Ear centering is a technique that overcomes this ambiguity. Ear centering can be performed with translation operators in the spatial domain (the unit sphere) or with DVFs in the transform domain (the SFT domain). This paper presents a review of ear centering and shows that operating in the spatial domain is computationally more efficient than operating in the transform domain. The reason behind this is that transform-domain ear centering requires DVFs that depend on two source distances, from the reference and from the ear, whereas spatial-domain ear centering requires DVFs that depend on the distance from the reference only. Moreover, operating in the spatial domain is more accurate.
AB - The head-related transfer function (HRTF) is a major tool in spatial audio. The HRTF for a point source is defined as the ratio between the sound pressure at the ear position and the free-field sound pressure at a reference position. The reference is typically placed at the center of the head. However, when using spherical Fourier transforms (SFT) and distance-varying filters (DVF) to synthesize HRTFs for point sources very close to the head, the synthesized HRTF assumes that the measurement position and the reference position are the same. Ear centering is a technique that overcomes this ambiguity. Ear centering can be performed with translation operators in the spatial domain (the unit sphere) or with DVFs in the transform domain (the SFT domain). This paper presents a review of ear centering and shows that operating in the spatial domain is computationally more efficient than operating in the transform domain. The reason behind this is that transform-domain ear centering requires DVFs that depend on two source distances, from the reference and from the ear, whereas spatial-domain ear centering requires DVFs that depend on the distance from the reference only. Moreover, operating in the spatial domain is more accurate.
KW - distance-varying filter
KW - ear centering
KW - Head-related transfer functions
KW - spherical Fourier transform
KW - translation operator
UR - https://www.scopus.com/pages/publications/85162298877
M3 - Artículo de la conferencia
AN - SCOPUS:85162298877
SN - 2226-7808
JO - Proceedings of the International Congress on Acoustics
JF - Proceedings of the International Congress on Acoustics
T2 - 24th International Congress on Acoustics, ICA 2022
Y2 - 24 October 2022 through 28 October 2022
ER -