This paper proposes a perceptual model for the measurement of “punch” in musical signals. Punch is an attribute that is often used to characterize music or sound sources that convey a sense of dynamic power or weight to the listener. A methodology is explored that combines signal separation and low level parameter measurement to produce a perceptually weighted “punch” score. The parameters explored are the onset time and frequency components of the signal across octave bands. The “punch” score is determined by a weighted sum of these parameters using coefficients derived through a large scale listening test. The model may have application in music information retrieval (MIR) and music production tools. The paper concludes by evaluating the perceptual model using commercially released music.

Authors: Fenton, Steven; Lee, Hyunkook
Affiliation: University of Huddersfield, Huddersfield, UK
AES Convention: 139 (October 2015) Paper Number: 9381
Publication Date: October 23, 2015 Import into BibTeX
Subject: Perception
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=17939

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