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JU. CA. Arevalo Arboleda, and J. Villegas, "Real-time spatialization via Eigen decomposition of head-related transfer functions," Paper 10628, (2022 October.). doi: JU. CA. Arevalo Arboleda, and J. Villegas, "Real-time spatialization via Eigen decomposition of head-related transfer functions," Paper 10628, (2022 October.). doi:
Abstract: A binaural spatialization method based on a lossy compression of Head-Related Transfer function (HRTF) databases via Eigen decomposition is introduced. The high compression ratio achieved with this method allows for the inclusion of interpolated HRTFs (about a million) while reducing the resulting database 20% from the original size. Compressed HRTFs have a spectral distortion ? 1 dB between 0.1 and 16 kHz. This distortion seems to have no significant effect on subjective accuracy, which is similar to the accuracy achieved with currently used audio spatializers. Compared to one of these methods, the proposed method shows an improvement in terms of processing time and memory requirements.

@article{arevalo arboleda2022real-time,
author={arevalo arboleda, juan camilo and villegas, julián},
journal={journal of the audio engineering society},
title={real-time spatialization via eigen decomposition of head-related transfer functions},
year={2022},
volume={},
number={},
pages={},
doi={},
month={october},} @article{arevalo arboleda2022real-time,
author={arevalo arboleda, juan camilo and villegas, julián},
journal={journal of the audio engineering society},
title={real-time spatialization via eigen decomposition of head-related transfer functions},
year={2022},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={a binaural spatialization method based on a lossy compression of head-related transfer function (hrtf) databases via eigen decomposition is introduced. the high compression ratio achieved with this method allows for the inclusion of interpolated hrtfs (about a million) while reducing the resulting database 20% from the original size. compressed hrtfs have a spectral distortion ? 1 db between 0.1 and 16 khz. this distortion seems to have no significant effect on subjective accuracy, which is similar to the accuracy achieved with currently used audio spatializers. compared to one of these methods, the proposed method shows an improvement in terms of processing time and memory requirements.},}

TY - Spatial Audio
TI - Real-time spatialization via Eigen decomposition of head-related transfer functions
SP - EP -
AU - Arevalo Arboleda, Juan Camilo
AU - Villegas, Julián
PY - 2022
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2022 TY - Spatial Audio
TI - Real-time spatialization via Eigen decomposition of head-related transfer functions
SP - EP -
AU - Arevalo Arboleda, Juan Camilo
AU - Villegas, Julián
PY - 2022
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2022
AB - A binaural spatialization method based on a lossy compression of Head-Related Transfer function (HRTF) databases via Eigen decomposition is introduced. The high compression ratio achieved with this method allows for the inclusion of interpolated HRTFs (about a million) while reducing the resulting database 20% from the original size. Compressed HRTFs have a spectral distortion ? 1 dB between 0.1 and 16 kHz. This distortion seems to have no significant effect on subjective accuracy, which is similar to the accuracy achieved with currently used audio spatializers. Compared to one of these methods, the proposed method shows an improvement in terms of processing time and memory requirements.