Previous work has proposed a perceptually motivated model for the objective measurement of punch in a music recording. This paper presents a real-time implementation of the proposed model as a punch metering plug-in. The plug-in presents both momentary and historical punch metrics in the form of a P95 (95th percentile punch measure), Mean punch score, and P95M (95th percentile punch divided by the mean punch score). The meter’s outputs are compared to subjective punch scores derived through a controlled listening test and show a “strong” correlation with Pearson and Spearman coefficients r=0.840 (p<0.001) and rho=0.937 (p<0.001) respectively. The real-time measure of punch could prove useful in allowing objective control and optimization of this feature during mixing, mastering and broadcast.
Parker, Andrew; Fenton, Steven; Lee, Hyunkook
Affiliation: University of Huddersfield, Huddersfield, UK
AES Convention: 145 (October 2018) Paper Number: 10043
Publication Date: October 7, 2018
Subject: Recording and Production
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