A. Favrot and C. Faller, “Microphone Selection Based on Direct to Reverberant Ratio Estimation,” in Proc. AES Convention 143, Oct. 2017, Paper 9906. [Online]. Available: https://aes.org/publications/elibrary-page/?id=19303
Favrot A, Faller C. Microphone Selection Based on Direct to Reverberant Ratio Estimation. In: AES Convention 143. Audio Engineering Society; 2017. Paper 9906. Available from: https://aes.org/publications/elibrary-page/?id=19303
@inproceedings{Favrot2017_19303,
author = {Favrot, Alexis and Faller, Christof},
title = {{Microphone Selection Based on Direct to Reverberant Ratio Estimation}},
booktitle = {AES Convention 143},
note = {Paper 9906},
year = {2017},
month = oct,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=19303}
}
TY - CPAPER
TI - Microphone Selection Based on Direct to Reverberant Ratio Estimation
AU - Favrot, Alexis
AU - Faller, Christof
T2 - AES Convention 143
M1 - Paper 9906
PY - 2017
DA - 2017/10/06
UR - https://aes.org/publications/elibrary-page/?id=19303
PB - Audio Engineering Society
LA - en
AB - Microphone recording in a room is ideally carried out by using a close distance microphone to prevent reverberation and noise annoyances, but this restricts the flexibility and the surface covered by the recording. When using multiple distant microphones, a microphone selection algorithm is needed for selecting the momentarily best microphone, namely the one with the least reverberation. Given several microphones arbitrarily distributed in a room, this paper describes an algorithm which, based on an estimation of the direct-to-reverberation ratio for each microphone, switches to the best microphone. The algorithm allows prioritizing a microphone and compensation of different directivity patterns.
ER -