V. Larcher, O. Warusfel, J.-M. Jot, and J. Guyard, “Study and Comparison of Efficient Methods for 3-D Audio Spatialization Based on Linear Decomposition of HRTF Data,” in Proc. AES Convention 108, Feb. 2000, Paper 5097. [Online]. Available: https://aes.org/publications/elibrary-page/?id=9241
Larcher V, Warusfel O, Jot JM, Guyard J. Study and Comparison of Efficient Methods for 3-D Audio Spatialization Based on Linear Decomposition of HRTF Data. In: AES Convention 108. Audio Engineering Society; 2000. Paper 5097. Available from: https://aes.org/publications/elibrary-page/?id=9241
@inproceedings{Larcher2000_9241,
author = {Larcher, Véronique and Warusfel, Olivier and Jot, Jean-Marc and Guyard, Jérome},
title = {{Study and Comparison of Efficient Methods for 3-D Audio Spatialization Based on Linear Decomposition of HRTF Data}},
booktitle = {AES Convention 108},
note = {Paper 5097},
year = {2000},
month = feb,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=9241}
}
TY - CPAPER
TI - Study and Comparison of Efficient Methods for 3-D Audio Spatialization Based on Linear Decomposition of HRTF Data
AU - Larcher, Véronique
AU - Warusfel, Olivier
AU - Jot, Jean-Marc
AU - Guyard, Jérome
T2 - AES Convention 108
M1 - Paper 5097
PY - 2000
DA - 2000/02/06
UR - https://aes.org/publications/elibrary-page/?id=9241
PB - Audio Engineering Society
LA - en
AB - Several computationally efficient multisource spatialization methods for headphone reproduction are reviewed. They rely on the linear decomposition of head-related transfer functions (HRTFs) into spatial functions and reconstruction filters. Decomposition methods based on statistical analysis, eigen-value decomposition, and projection techniques are presented. Specifically methods yielding nonindividualized, discrete spatial functions-while minimizing the reconstruction error-are investigated.:
ER -