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.

Authors: Hill, Adam J.; Mulder, Johannes; Burton, Jon; Kok, Marcel; Lawrence, Michael
Affiliations: College of Science and Engineering, University of Derby, Derby, DE22 1GB, UK; College of Arts and Social Sciences, The National University of Australia, Canberra, Australia; dBcontrol, Zwaag The Netherlands; Rational Acoustics, Woodstock, CT, USA(See document for exact affiliation information.)
JAES Volume 69 Issue 11 pp. 782-792; November 2021
Publication Date: November 8, 2021 Import into BibTeX
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=21529

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DOI: https://doi.org/10.17743/jaes.2021.0050

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