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Objective profiling of perceived punch and clarity in produced music

Fenton, Steven and Wakefield, Jonathan P. (2012) Objective profiling of perceived punch and clarity in produced music. In: 132nd Audio Engineering Society Convention, 26th - 29th April 2012, Budapest, Hungary.

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This paper describes and evaluates an objective measurement that profiles a complex musical signal over time in terms of identification of dynamic content and overall perceived quality. The authors have previously identified a potential correlation between inter-band dynamics and the subjective quality of produced music excerpts. This paper describes the previously presented Inter-Band Relationship (IBR) descriptor and extends this work by conducting more thorough testing of its relationship to perceived punch and clarity over varying time resolutions. A degree of correlation is observed between subjective test scores and the objective IBR descriptor suggesting it could be used as an additional model output variable (MOV) to describe punch and clarity with a piece of music. Limitations have been identified in the measure however and further consideration is required with regards to the choice of threshold adopted based on the range of dynamics detected within the musical extract and the possible inclusion of a gate as utilised in some loudness algorithms.

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Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Punch Clarity Objective Measurement Produced Music Loudness
Subjects: M Music and Books on Music > M Music
T Technology > T Technology (General)
Schools: School of Computing and Engineering
School of Computing and Engineering > Music Technology and Production Research Group
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References: E.Skovenborg and T.Lund, Loudness descriptors to characterize programs and music tracks, AES Convention Paper 7514, October 2008 E.Skovenborg and S.H.Nielsen, Evaluation of Different Loudness Models with Music and Speech Material, AES 117th Convention, San Francisco, CA, USA, October 2004 ITU-R BS.1770, Algorithms to measure audio programme loudness and true-peak audio level, International Telecommunications Union, Geneva, Switzerland, 2006 Voxengo Gliss EQ, [accessed 3rd January, 2012] Fab Filter, Pro Q Equalizer, [accessed 8th January 2012] Pleasurize sound meter, [accessed 20th November 2011] EBU-R128, Loudness normalisation and permitted maximum level of audio signals, EBU PLoud Group, August 2011 AC-R128 Loudness meter, [accessed 8th January 2012] Vis-LM-H, NuGen Audio Loudness Meter with history, ss-meter_VST_AU_RTAS.php [accessed 2nd February, 2012] G.Ballou “Handbook for sound engineers”, 3rd Edition, Gulf Professional Publishing, April 2005 E.Gonzalez and J. D. Reiss, "Automatic equalization of multi-channel audio using cross-adaptive methods", Proceedings of the 127th AES Convention, New York, October 2009 D.Barry, D.Fitzgerald, E.Coyle and B. Lawlor, Single Channel Source Separation using Short-time Independent Component Analysis, AES 119th conference, October 2005. M.Every, Discriminating Between Pitched Sources in Music Audio, IEEE Transactions, Feb 2008 S.Hainsworth and M.Macleod. Onset detection in musical audio signals. In Proc. Int. Computer Music Conference, pages 163–6, 2003 JP Bello, L Daudet, S Abdallah, C Duxbury, M Davies, M Sandler, A Tutorial on Onset Detection in Music Signals. IEEE Transactions on Speech and Audio Processing. 13, 1035–1047, Sept. 2005 N.Collins, A Comparison of Sound Onset Detection Algorithms with Emphasis on Psychoacoustically Motivated Detection Functions, AES Convention Paper Presented at the 118th Convention 2005 May 28–31 Barcelona, Spain Fenton, S., Fazenda, B. and Wakefield, J.‘Objective quality measurement of audio using multiband dynamic range analysis’. Institute of Acoustics (IOA) Conference- November 2009 Fenton, S., Wakefield, J. and Fazenda, B. ‘Objective Measurement of Music Quality Using Inter-Band Relationship Analysis’.AES 130th Conference, London, UK., 13th-16th May 2011. M.Lagrange, M.Raspaud, R.Badeau, and G.Richard, Explicit Modeling of Temporal Dynamics within Musical Signals for Acoustical Unit Similarity, June 2009
Depositing User: Steven Fenton
Date Deposited: 05 Jul 2012 10:26
Last Modified: 28 Aug 2021 20:42


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