Development of a Real-time Punch Meter Plugin

Andrew Parker; Steven Fenton; Hyunkook Lee

Development of a Real-time Punch Meter Plugin

Andrew Parker, Steven Fenton, Hyunkook Lee

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings of the 4th Workshop on Intelligent Music Production
Publisher	University of Huddersfield
Publication status	Published - Sep 2018
Event	4th Workshop on Intelligent Music Production - University of Huddersfield, Huddersfield, United Kingdom Duration: 14 Sep 2018 → 14 Sep 2018 Conference number: 4 https://research.hud.ac.uk/institutes-centres/apl/events/wimp18/ (Link to Workshop Information)

Workshop

Workshop	4th Workshop on Intelligent Music Production
Abbreviated title	WIMP 2018
Country/Territory	United Kingdom
City	Huddersfield
Period	14/09/18 → 14/09/18
Internet address	https://research.hud.ac.uk/institutes-centres/apl/events/wimp18/ (Link to Workshop Information)

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Parker_et_al_DEVELOPMENT_OF_A_REAL-TIME_PUNCH_METER_PLUGINFinal published version, 374 KBLicence: CC BY

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@inproceedings{a2efa587a3f24fb0bc6adc49ceddf53d,

title = "Development of a Real-time Punch Meter Plugin",

abstract = "In this paper, a real-time implementation of a punch metering plugin is described. {\textquoteleft}Punch{\textquoteright} 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 {\textquoteleft}strong{\textquoteright} 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",

month = sep,

language = "English",

booktitle = "Proceedings of the 4th Workshop on Intelligent Music Production",

publisher = "University of Huddersfield",

address = "United Kingdom",

note = "4th Workshop on Intelligent Music Production, WIMP 2018 ; Conference date: 14-09-2018 Through 14-09-2018",

url = "https://research.hud.ac.uk/institutes-centres/apl/events/wimp18/",

}

TY - GEN

T1 - Development of a Real-time Punch Meter Plugin

AU - Parker, Andrew

AU - Fenton, Steven

AU - Lee, Hyunkook

N1 - Conference code: 4

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

PB - University of Huddersfield

T2 - 4th Workshop on Intelligent Music Production

Y2 - 14 September 2018 through 14 September 2018

ER -

Development of a Real-time Punch Meter Plugin

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Workshop

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