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S. Moulin, E. Corteel, and F. Montignies, "Optimum Measurement Locations for Large-Scale Loudspeaker System Tuning Based on First-Order Reflections Analysis," Paper 10234, (2019 October.). doi: S. Moulin, E. Corteel, and F. Montignies, "Optimum Measurement Locations for Large-Scale Loudspeaker System Tuning Based on First-Order Reflections Analysis," Paper 10234, (2019 October.). doi:
Abstract: This paper investigates how first-order reflections impact the response of sound reinforcement systems over large audiences. On the field, only few acoustical measurements can be performed to drive tuning decisions. The challenge is then to select the right measurement locations so that it provides an accurate representation of the loudspeaker system response. Simulations of each first-order reflection (e.g., floor or side wall reflection) are performed to characterize the average frequency response and its variability over the target audience area. Then, the representativity of measurements performed at a reduced number of locations is investigated. Results indicate that a subset of eight measurement locations spread over the target audience area represents a rational solution to characterize the loudspeaker system response.

@article{moulin2019optimum,
author={moulin, samuel and corteel, etienne and montignies, françois},
journal={journal of the audio engineering society},
title={optimum measurement locations for large-scale loudspeaker system tuning based on first-order reflections analysis},
year={2019},
volume={},
number={},
pages={},
doi={},
month={october},} @article{moulin2019optimum,
author={moulin, samuel and corteel, etienne and montignies, françois},
journal={journal of the audio engineering society},
title={optimum measurement locations for large-scale loudspeaker system tuning based on first-order reflections analysis},
year={2019},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={this paper investigates how first-order reflections impact the response of sound reinforcement systems over large audiences. on the field, only few acoustical measurements can be performed to drive tuning decisions. the challenge is then to select the right measurement locations so that it provides an accurate representation of the loudspeaker system response. simulations of each first-order reflection (e.g., floor or side wall reflection) are performed to characterize the average frequency response and its variability over the target audience area. then, the representativity of measurements performed at a reduced number of locations is investigated. results indicate that a subset of eight measurement locations spread over the target audience area represents a rational solution to characterize the loudspeaker system response.},}

TY - paper
TI - Optimum Measurement Locations for Large-Scale Loudspeaker System Tuning Based on First-Order Reflections Analysis
SP - EP -
AU - Moulin, Samuel
AU - Corteel, Etienne
AU - Montignies, François
PY - 2019
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2019 TY - paper
TI - Optimum Measurement Locations for Large-Scale Loudspeaker System Tuning Based on First-Order Reflections Analysis
SP - EP -
AU - Moulin, Samuel
AU - Corteel, Etienne
AU - Montignies, François
PY - 2019
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2019
AB - This paper investigates how first-order reflections impact the response of sound reinforcement systems over large audiences. On the field, only few acoustical measurements can be performed to drive tuning decisions. The challenge is then to select the right measurement locations so that it provides an accurate representation of the loudspeaker system response. Simulations of each first-order reflection (e.g., floor or side wall reflection) are performed to characterize the average frequency response and its variability over the target audience area. Then, the representativity of measurements performed at a reduced number of locations is investigated. Results indicate that a subset of eight measurement locations spread over the target audience area represents a rational solution to characterize the loudspeaker system response.