Listener Adaptive Filtering Strategies for Personal Audio Reproduction over Loudspeaker Arrays

Simón Gálvez MF, Fazi FM. Listener Adaptive Filtering Strategies for Personal Audio Reproduction over Loudspeaker Arrays. In: AES Conference: 2016 AES International Conference on Sound Field Control. Audio Engineering Society; 2016. Paper 5-3. Available from: https://aes.org/publications/elibrary-page/?id=18328

@inproceedings{SimonGalvez2016_18328,
  author = {Simón Gálvez, Marcos Felipe and Fazi, Filippo Maria},
  title = {{Listener Adaptive Filtering Strategies for Personal Audio Reproduction over Loudspeaker Arrays}},
  booktitle = {AES Conference: 2016 AES International Conference on Sound Field Control},
  note = {Paper 5-3},
  year = {2016},
  month = jul,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=18328}
}

TY  - CPAPER
TI  - Listener Adaptive Filtering Strategies for Personal Audio Reproduction over Loudspeaker Arrays
AU  - Simón Gálvez, Marcos Felipe
AU  - Fazi, Filippo Maria
T2  - AES Conference: 2016 AES International Conference on Sound Field Control
M1  - Paper 5-3
PY  - 2016
DA  - 2016/07/06
UR  - https://aes.org/publications/elibrary-page/?id=18328
PB  - Audio Engineering Society
LA  - en
AB  - This paper describes the creation of dynamic filters for listener adaptive personal audio reproduction with loudspeaker arrays. The proposed filters allow rendering two audio signals to provide personalised audio programs to a pair of listeners. The filters are modified on real-time according to the listeners’ position, which can be estimated by a listener-tracking device. This is obtained by expressing the impulse response of each filter as a network of, sparse, variable gain-delay elements that are modified so that the filters adjust the reproduced beam pattern to the listeners’ position, assuming that each loudspeaker behaves according to a point-source radiation model. The paper introduces the formulation of the filters together with simulations of performance compared with established filter creation techniques.
ER  -