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.
|Title of host publication||139th Audio Engineering Society International Convention, AES 2015|
|Publisher||Audio Engineering Society|
|Publication status||Published - 2015|
|Event||139th Audio Engineering Society International Convention - Jacob Javits Centre, New York, United States|
Duration: 29 Oct 2015 → 1 Nov 2015
Conference number: 139
http://www.aes.org/events/139/ (Link to Conference Website)
|Conference||139th Audio Engineering Society International Convention|
|Abbreviated title||AES 2015|
|Period||29/10/15 → 1/11/15|
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- Department of Computer Science - Senior Lecturer
- School of Computing and Engineering
- Centre for Audio and Psychoacoustic Engineering - Member