Development of a Real-time Punch Meter Plugin

Andrew Parker, Steven Fenton, Hyunkook Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, a real-time implementation of a punch metering plugin is described. ‘Punch’ is a perceptual attribute and can be defined by both temporal and frequency characteristics of an audio signal. The metering tool consists of signal separation, onset detection, and perceptual weighting stages. Scores are displayed on both a time graph and a histogram; statistical metrics are derived from the histogram. The output is compared to subjective punch scores obtained from a controlled listening test, and showed a ‘strong’ correlation with Pearson and Spearman coefficients r=0.840 (p<0.001) and rho=0.937 (p<0.001) respectively.The meter is intended to allow for optimisation and objective control of punch during mixing, mastering, and broadcast.
Original languageEnglish
Title of host publicationProceedings of the 4th Workshop on Intelligent Music Production
PublisherUniversity of Huddersfield
Publication statusPublished - Sep 2018
Event4th Workshop on Intelligent Music Production - University of Huddersfield, Huddersfield, United Kingdom
Duration: 14 Sep 201814 Sep 2018
Conference number: 4
http://www.wimp2018.tk (Link to Workshop Information)

Workshop

Workshop4th Workshop on Intelligent Music Production
Abbreviated titleWIMP 2018
CountryUnited Kingdom
CityHuddersfield
Period14/09/1814/09/18
Internet address

Cite this

Parker, A., Fenton, S., & Lee, H. (2018). Development of a Real-time Punch Meter Plugin. In Proceedings of the 4th Workshop on Intelligent Music Production University of Huddersfield.
Parker, Andrew ; Fenton, Steven ; Lee, Hyunkook. / Development of a Real-time Punch Meter Plugin. Proceedings of the 4th Workshop on Intelligent Music Production. University of Huddersfield, 2018.
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title = "Development of a Real-time Punch Meter Plugin",
abstract = "In this paper, a real-time implementation of a punch metering plugin is described. ‘Punch’ is a perceptual attribute and can be defined by both temporal and frequency characteristics of an audio signal. The metering tool consists of signal separation, onset detection, and perceptual weighting stages. Scores are displayed on both a time graph and a histogram; statistical metrics are derived from the histogram. The output is compared to subjective punch scores obtained from a controlled listening test, and showed a ‘strong’ correlation with Pearson and Spearman coefficients r=0.840 (p<0.001) and rho=0.937 (p<0.001) respectively.The meter is intended to allow for optimisation and objective control of punch during mixing, mastering, and broadcast.",
author = "Andrew Parker and Steven Fenton and Hyunkook Lee",
year = "2018",
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language = "English",
booktitle = "Proceedings of the 4th Workshop on Intelligent Music Production",
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Parker, A, Fenton, S & Lee, H 2018, Development of a Real-time Punch Meter Plugin. in Proceedings of the 4th Workshop on Intelligent Music Production. University of Huddersfield, 4th Workshop on Intelligent Music Production, Huddersfield, United Kingdom, 14/09/18.

Development of a Real-time Punch Meter Plugin. / Parker, Andrew; Fenton, Steven; Lee, Hyunkook.

Proceedings of the 4th Workshop on Intelligent Music Production. University of Huddersfield, 2018.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Parker, Andrew

AU - Fenton, Steven

AU - Lee, Hyunkook

PY - 2018/9

Y1 - 2018/9

N2 - In this paper, a real-time implementation of a punch metering plugin is described. ‘Punch’ is a perceptual attribute and can be defined by both temporal and frequency characteristics of an audio signal. The metering tool consists of signal separation, onset detection, and perceptual weighting stages. Scores are displayed on both a time graph and a histogram; statistical metrics are derived from the histogram. The output is compared to subjective punch scores obtained from a controlled listening test, and showed a ‘strong’ correlation with Pearson and Spearman coefficients r=0.840 (p<0.001) and rho=0.937 (p<0.001) respectively.The meter is intended to allow for optimisation and objective control of punch during mixing, mastering, and broadcast.

AB - In this paper, a real-time implementation of a punch metering plugin is described. ‘Punch’ is a perceptual attribute and can be defined by both temporal and frequency characteristics of an audio signal. The metering tool consists of signal separation, onset detection, and perceptual weighting stages. Scores are displayed on both a time graph and a histogram; statistical metrics are derived from the histogram. The output is compared to subjective punch scores obtained from a controlled listening test, and showed a ‘strong’ correlation with Pearson and Spearman coefficients r=0.840 (p<0.001) and rho=0.937 (p<0.001) respectively.The meter is intended to allow for optimisation and objective control of punch during mixing, mastering, and broadcast.

UR - https://research.hud.ac.uk/institutes-centres/apl/events/wimp18/

M3 - Conference contribution

BT - Proceedings of the 4th Workshop on Intelligent Music Production

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Parker A, Fenton S, Lee H. Development of a Real-time Punch Meter Plugin. In Proceedings of the 4th Workshop on Intelligent Music Production. University of Huddersfield. 2018