Pressure Matching With Forced Filters for Personal Sound Zones Application

Vindrola L, Melon M, Chamard JC, Gazengel B. Pressure Matching With Forced Filters for Personal Sound Zones Application. J Audio Eng Soc. 2020;68(11):832-842. doi:10.17743/jaes.2020.0058

@article{Vindrola2020_20997,
  author = {Vindrola, Lucas and Melon, Manuel and Chamard, Jean-Christophe and Gazengel, Bruno},
  title = {{Pressure Matching With Forced Filters for Personal Sound Zones Application}},
  journal = {Journal of the Audio Engineering Society},
  volume = {68},
  number = {11},
  pages = {832--842},
  year = {2020},
  month = nov,
  publisher = {Audio Engineering Society},
  doi = {10.17743/jaes.2020.0058},
  url = {https://doi.org/10.17743/jaes.2020.0058}
}

TY  - JOUR
TI  - Pressure Matching With Forced Filters for Personal Sound Zones Application
AU  - Vindrola, Lucas
AU  - Melon, Manuel
AU  - Chamard, Jean-Christophe
AU  - Gazengel, Bruno
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 68
IS  - 11
SP  - 832
EP  - 842
PY  - 2020
DA  - 2020/11/06
DO  - 10.17743/jaes.2020.0058
UR  - https://doi.org/10.17743/jaes.2020.0058
PB  - Audio Engineering Society
LA  - en
AB  - This paper presents a rethinking of the Pressure Matching Method (PM) used in the generation of Personal Sound Zones when the responses of some filters are already known. They are then imposed in the calculation, resulting in a Forced Pressure Matching method. This new formulation is implemented to control two zones—a reproduction zone and dark zone—in a two-seat configuration aimed toward the Transportation industry. Due to variations in transportation acoustic environments, the computational time is added to the metrics typically used in the Personal Sound Zones literature (such as acoustic contrast, effort, error, etc.), foreseeing the need of an adaptive system. Perfect Dirac delta functions were forced as filters of the loudspeakers closest to the reproduction zone. The new formulation achieved the same acoustic contrast, effort, and reproduction error very similar to that of the conventional PMbut calculated the filters 24% faster.
ER  -