Sound Field Capture with Microphone Arrays, Proximity Microphones, and Optimal Filters

Gauthier PA, Padois T, Ramanana T, Bolduc A, Pasco Y, Berry A. Sound Field Capture with Microphone Arrays, Proximity Microphones, and Optimal Filters. In: AES Conference: 55th International Conference: Spatial Audio. Audio Engineering Society; 2014. Paper 1-1. Available from: https://aes.org/publications/elibrary-page/?id=17358

@inproceedings{Gauthier2014_17358,
  author = {Gauthier, Philippe-Aubert and Padois, Thomas and Ramanana, Telina and Bolduc, Anthony and Pasco, Yann and Berry, Alain},
  title = {{Sound Field Capture with Microphone Arrays, Proximity Microphones, and Optimal Filters}},
  booktitle = {AES Conference: 55th International Conference: Spatial Audio},
  note = {Paper 1-1},
  year = {2014},
  month = aug,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=17358}
}

TY  - CPAPER
TI  - Sound Field Capture with Microphone Arrays, Proximity Microphones, and Optimal Filters
AU  - Gauthier, Philippe-Aubert
AU  - Padois, Thomas
AU  - Ramanana, Telina
AU  - Bolduc, Anthony
AU  - Pasco, Yann
AU  - Berry, Alain
T2  - AES Conference: 55th International Conference: Spatial Audio
M1  - Paper 1-1
PY  - 2014
DA  - 2014/08/06
UR  - https://aes.org/publications/elibrary-page/?id=17358
PB  - Audio Engineering Society
LA  - en
AB  - The aim of sound field reproduction is to physically reproduce a sound field in an extended area using loudspeaker arrays. Typically, the virtual scene is described by a composition of simple sources (spherical waves, plane waves) fed by monophonic signals from proximity microphones or a microphone array recording. It would be useful to combine these approaches in order to separate monophonic signals to drive simple foreground virtual sources from the remaining immersing sound environment. In this paper, the combination of proximity microphones and microphone arrays is investigated in order to separate the sound source signals with proximity microphones from the remaining sound environment. Optimal (Wiener) filters are used for this purpose. Results of numerical simulations and acoustic imaging illustrate the viability of the approach.
ER  -