Convention Paper
Towards a Perceptual Model of “Punch” in Musical Signals
AES Convention 139 · Paper 9381 · October 2015
Abstract
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.
