Perceptual Punch Tool (VST and AU Plugins)
Creators
- 1. Applied Psychoacoustics Lab (APL), University of Huddersfield
Description
Perceptual Punch Tool v1.1
The Perceptual Punch tool is a VST/AU plugin for measuring and manipulating the perceptual punch attribute. It is supplied in both Windows and OSX plugin versions that can be run with any VST or AU host.
The tool measures "perceived auditory punch" of musical signals in real-time using novel measures such as PM95 and PM95M. The measures have been tested and are highly correlated with human perception of the underlying attribute. The tool can be used to compare complete mixes (2 Channel Stereo) or individual stems (1 or 2 channel).
Compatibility
The current version of the code and its associated release is compatible with both macOS and Windows.
Prerequisites
Any VST/AU Host.
Installing
Place the plugin files within your AU or VST directories. Rescan to make sure the plugin is picked up.
Referencing
If you use the Perceptual Punch Tool for your research, work or otherwise, please reference it as follows.
S. Fenton and H. Lee, 'A Perceptual Model of "Punch" Based on Weighted Transient Loudness,' Journal of the Audio Engineering Society, 67 (6), 2019, https://www.aes.org/e-lib/browse.cfm?elib=20484
Feedback and bug report
All feedback is welcome. The user guide contains a form that we hope you can complete and return to us. Out contact details are Steven Fenton (s.m.fenton@hud.ac.uk) and Hyunkook Lee (h.lee@hud.ac.uk). If you would like to be updated on any future releases of the PPT or other research news by the Applied Psychoacoustics Lab (APL)/ Centre for Audio and Psychoacoustic Engineering (CAPE), please sign up here: https://goo.gl/forms/CkqgkdePwOTR8XCI2
Key publications
S. Fenton and H. Lee, 'A Perceptual Model of "Punch" Based on Weighted Transient Loudness,' Journal of the Audio Engineering Society, 67 (6), 2019, https://www.aes.org/e-lib/browse.cfm?elib=20484
A. Parker, S. Fenton and H. Lee, 'Real-Time System for the Measurement of Perceived Punch," presented at the 145th AES Convention, 2018, paper 10043. https://www.aes.org/e-lib/browse.cfm?elib=19769
Files
Perceptual Punch Plugin v1.1.zip
Files
(12.0 MB)
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