A Comparative Study of the Performance of Spatialization Techniques for a Distributed Audience in a Concert Hall Environment

Bates E, Boland F, Furlong D, Kearney G. A Comparative Study of the Performance of Spatialization Techniques for a Distributed Audience in a Concert Hall Environment. In: AES Conference: 31st International Conference: New Directions in High Resolution Audio. Audio Engineering Society; 2007. Paper 13. Available from: https://aes.org/publications/elibrary-page/?id=13948

@inproceedings{Bates2007_13948,
  author = {Bates, Enda and Boland, Frank and Furlong, Dermot and Kearney, Gavin},
  title = {{A Comparative Study of the Performance of Spatialization Techniques for a Distributed Audience in a Concert Hall Environment}},
  booktitle = {AES Conference: 31st International Conference: New Directions in High Resolution Audio},
  note = {Paper 13},
  year = {2007},
  month = jun,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=13948}
}

TY  - CPAPER
TI  - A Comparative Study of the Performance of Spatialization Techniques for a Distributed Audience in a Concert Hall Environment
AU  - Bates, Enda
AU  - Boland, Frank
AU  - Furlong, Dermot
AU  - Kearney, Gavin
T2  - AES Conference: 31st International Conference: New Directions in High Resolution Audio
M1  - Paper 13
PY  - 2007
DA  - 2007/06/06
UR  - https://aes.org/publications/elibrary-page/?id=13948
PB  - Audio Engineering Society
LA  - en
AB  - The performance of various spatialization techniques is evaluated for a distributed audience using the non-ideal speaker arrangements found in small concert halls. The methods under evaluation are Second Order Ambisonics, Vector Base Amplitude Panning, Delta Stereophony and Spat with B-format Ambisonics encoding. Each method is assessed in terms of its localization accuracy. The data is presented by comparison of empirical high resolution binaural measurements and perceptual listening tests to simulations of the speaker arrangements in an equivalent acoustically modeled environment.
ER  -