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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.
Author (s): Moulin, Samuel;
Corteel, Etienne;
Montignies, François;
Affiliation:
L-Acoustics, Marcoussis, France
(See document for exact affiliation information.)
AES Convention: 147
Paper Number:10234
Publication Date:
2019-10-06
Session subject:
Room Acoustics
DOI:
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Moulin, Samuel; Corteel, Etienne; Montignies, François; 2019; Optimum Measurement Locations for Large-Scale Loudspeaker System Tuning Based on First-Order Reflections Analysis [PDF]; L-Acoustics, Marcoussis, France; Paper 10234; Available from: https://aes.org/publications/elibrary-page/?id=20607
Moulin, Samuel; Corteel, Etienne; Montignies, François; Optimum Measurement Locations for Large-Scale Loudspeaker System Tuning Based on First-Order Reflections Analysis [PDF]; L-Acoustics, Marcoussis, France; Paper 10234; 2019 Available: https://aes.org/publications/elibrary-page/?id=20607
@inproceedings{Moulin2019optimum,
title={{Optimum Measurement Locations for Large-Scale Loudspeaker System Tuning Based on First-Order Reflections Analysis}},
author={Moulin, Samuel and Corteel, Etienne and Montignies, François},
year={2019},
month={oct},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 10234; AES Convention 147; October 2019},
number={10234},
organization={AES},
}
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