Real-time spatialization via Eigen decomposition of head-related transfer functions

Arevalo Arboleda JC, Villegas J. Real-time spatialization via Eigen decomposition of head-related transfer functions. In: AES Convention 153. Audio Engineering Society; 2022. Paper 10628. Available from: https://aes.org/publications/elibrary-page/?id=21957

@inproceedings{ArevaloArboleda2022_21957,
  author = {Arevalo Arboleda, Juan Camilo and Villegas, Julián},
  title = {{Real-time spatialization via Eigen decomposition of head-related transfer functions}},
  booktitle = {AES Convention 153},
  note = {Paper 10628},
  year = {2022},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=21957}
}

TY  - CPAPER
TI  - Real-time spatialization via Eigen decomposition of head-related transfer functions
AU  - Arevalo Arboleda, Juan Camilo
AU  - Villegas, Julián
T2  - AES Convention 153
M1  - Paper 10628
PY  - 2022
DA  - 2022/10/06
UR  - https://aes.org/publications/elibrary-page/?id=21957
PB  - Audio Engineering Society
LA  - en
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.
ER  -