A. J. Hill, J. Mulder, J. Burton, M. Kok, and M. Lawrence, “Sound Level Monitoring at Live Events, Part 1--Live Dynamic Range,” J. Audio Eng. Soc., vol. 69, no. 11, pp. 782–792, Nov. 2021, doi: 10.17743/jaes.2021.0050.
Hill AJ, Mulder J, Burton J, Kok M, Lawrence M. Sound Level Monitoring at Live Events, Part 1--Live Dynamic Range. J Audio Eng Soc. 2021;69(11):782-792. doi:10.17743/jaes.2021.0050
@article{Hill2021_21529,
author = {Hill, Adam J. and Mulder, Johannes and Burton, Jon and Kok, Marcel and Lawrence, Michael},
title = {{Sound Level Monitoring at Live Events, Part 1--Live Dynamic Range}},
journal = {Journal of the Audio Engineering Society},
volume = {69},
number = {11},
pages = {782--792},
year = {2021},
month = nov,
publisher = {Audio Engineering Society},
doi = {10.17743/jaes.2021.0050},
url = {https://doi.org/10.17743/jaes.2021.0050}
}
TY - JOUR
TI - Sound Level Monitoring at Live Events, Part 1--Live Dynamic Range
AU - Hill, Adam J.
AU - Mulder, Johannes
AU - Burton, Jon
AU - Kok, Marcel
AU - Lawrence, Michael
T2 - Journal of the Audio Engineering Society
J2 - J. Audio Eng. Soc.
VL - 69
IS - 11
SP - 782
EP - 792
PY - 2021
DA - 2021/11/06
DO - 10.17743/jaes.2021.0050
UR - https://doi.org/10.17743/jaes.2021.0050
PB - Audio Engineering Society
LA - en
AB - Musical dynamics are often central within pieces of music and are therefore likely to be fundamental to the live event listening experience. While metrics exist in broadcasting and recording to quantify dynamics, such measures work on high-resolution data. Live event sound level monitoring data is typically low-resolution (logged at one second intervals or less), which necessitates bespoke musical dynamics quantification. Live dynamic range (LDR) is presented and validated here to serve this purpose, wheremeasurement data is conditioned to remove song breaks and sound level regulation-imposed adjustments to extract the true musical dynamics from a live performance. Results show consistent objective performance of the algorithm, as tested on synthetic data as well as datasets from previous performances.
ER -