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Head-related transfer function interpolation in azimuth, elevation, and distance
1Department of Media Technology, Aalto University School of Science, FI-00076 Aalto, Finland hannes.gamper@aalto.fi.
The Journal of the Acoustical Society of America
|February 12, 2015
Summary
This study introduces a new framework for interpolating head-related transfer function (HRTF) measurements in 3D. The method accurately reconstructs near-field HRTFs, enabling better virtual sound rendering.
Area of Science:
- Acoustics
- Signal Processing
- Virtual Reality
Background:
- Distance-dependent head-related transfer function (HRTF) databases offer potential for near-field virtual sound rendering.
- Existing algorithms and tools are insufficient for utilizing these HRTF databases effectively.
Purpose of the Study:
- To propose a novel framework for interpolating HRTF measurements in three dimensions: azimuth, elevation, and distance.
- To enable the practical application of distance-dependent HRTF data for enhanced audio rendering.
Main Methods:
- Utilized tetrahedral interpolation with barycentric weights for HRTF data.
- Generated a tetrahedral mesh via Delaunay triangulation for spatial data organization.
- Employed an adjacency walk search for efficient data retrieval within the mesh.
Main Results:
- The proposed framework demonstrates robustness with irregularly positioned HRTF measurements.
- The interpolation method proved computationally efficient.
- Objective evaluation showed good agreement between measured and interpolated near-field HRTFs.
Conclusions:
- The developed framework effectively interpolates 3D HRTF measurements.
- This facilitates the use of distance-dependent HRTFs for realistic near-field sound rendering.
- The approach is suitable for irregularly sampled HRTF data.
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