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Evaluation of a Perceptually-Based Model of "Punch" with Music Material

Fenton, Steven, Lee, Hyunkook and Wakefield, Jonathan P. (2016) Evaluation of a Perceptually-Based Model of "Punch" with Music Material. In: AES 141st Convention, 28th September-2 October 2016, LA Convention Centre, LA, USA.

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Abstract

This paper evaluates a perceptually motivated objective model for the measurement of “punch” in musical signals. Punch is a perceptual attribute that is often used to characterize music that conveys a sense of dynamic power or weight. A methodology is employed that combines signal separation, onset detection, and low level parameter measurement to produce a perceptually weighted “punch” score. The model is evaluated against subjective scores derived through a forced pairwise comparison listening test using a wide variety of musical stimuli. The model output indicates a high degree of correlation with the subjective scores. Correlation results are also compared to other objective models such as Crest Factor, Inter-Band-Ratio (IBR), Peak-to-Loudness Ratio (PLR), and Loudness Dynamic Range (LDR).

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Item Type: Conference or Workshop Item (Paper)
Contributors:
ContributionNameEmailORCID
AuthorFenton, Stevens.m.fenton@hud.ac.ukUNSPECIFIED
AuthorLee, Hyunkookh.lee@hud.ac.ukUNSPECIFIED
AuthorWakefield, Jonathan P.j.p.wakefield@hud.ac.ukUNSPECIFIED
Uncontrolled Keywords: punch measurement, perception, mixing, mastering.
Subjects: M Music and Books on Music > M Music
T Technology > TA Engineering (General). Civil engineering (General)
Schools: School of Computing and Engineering
School of Computing and Engineering > Music Technology and Production Research Group
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References:

[1] S. Fenton, H. Lee and J. Wakefield, “Elicitation and Objective Grading of ‘Punch’ Within Produced Music,” 136th Audio Engineering Society Convention, Berlin (2014).
[2] B. Moore, “An Introduction to the Psychology of Hearing,” Great Britain: Academic Pres. (2003).
[3] S. Fenton and H. Lee, “Towards a Perceptual Model of 'Punch' in Musical Signals”. 139th International AES Convention, October, New York, USA (2015).
[4] ITU-R BS.1770-3, Algorithms to measure audio programme loudness and true-peak audio level, International Telecommunications Union, Geneva, Switzerland (2012).
[5] W. M. Hartmann, Signals, Sound, and Sensation. New York: Springer, (1998).
[6] S. Fenton, B. Fazenda and J. Wakefield, “Objective Measurement of Music Quality Using Inter-Band Relationship Analysis”, 130th Audio Engineering Society Convention, London, May (2011).
[7] E. Skoveborg, “Measures Of Microdynamics”, AES 137 Convention Paper, Los Angeles, October (2014).
[8] R. A. Bradley and M. E. Terry, “Rank Analysis of incomplete block designs,” The method of pair comparisons. Biometrika, 324-345 (1952).
[9] R. D Luce, “Individual Choice Behavior”. New York, Wiley, (1959).
[10] F. Wickelmaier, C. Schmid, “A Matlab Function to Estimate Choice-model parameters from Paire-comparison data”, Behavior Research Methods, Instruments & Computers, (2004).
[11] L. E. Harris and K. R. Holland, “Using statistics to analyse listening test data: some sources and advice for non-statisticians,” Proceedings of the Institute of Acoustics, (2009).

Depositing User: Steven Fenton
Date Deposited: 25 Oct 2016 11:40
Last Modified: 08 Dec 2017 10:00
URI: http://eprints.hud.ac.uk/id/eprint/29475

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