FFT-based dynamic range compression

Leo McCormack; Vesa Välimäki

FFT-based dynamic range compression

Audio Signal Processing

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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Abstract

Many of the dynamic range compressor (DRC) designs that are deployed in the marketplace today are constrained to operate in the time-domain; therefore, they offer only temporally dependent control of the amplitude envelope of a signal. Designs that offer an element of frequency dependency, are often restricted to perform specific tasks intended by the developer. Therefore, in order to realise a more flexible DRC implementation, this paper proposes a
generalised time-frequency domain design that accommodates both temporally-dependent and frequency-dependent dynamic range control; for which an FFT-based implementation is also presented. Examples given in this paper reveal how the design can be tailored to perform a variety of tasks, using simple parameter manipulation; such as frequency-depended ducking for automatic-mixing purposes and high-resolution multi-band compression.

Original language	English
Title of host publication	Proceedings of the 14th Sound and Music Computing Conference
Editors	Tapio Lokki, Jukka Pätynen, Vesa Välimäki
Place of Publication	Espoo, Finland
Publisher	Aalto University
Pages	42-49
ISBN (Electronic)	978-952-60-3729-5
Publication status	Published - 5 Jul 2017
MoE publication type	A4 Conference publication
Event	Sound and Music Computing Conference - Otaniemi, Espoo, Finland Duration: 5 Jul 2017 → 8 Jul 2017 Conference number: 14 http://smc2017.aalto.fi

Publication series

Name	Proceedings of the Sound and Music Computing Conferences
ISSN (Electronic)	2518-3672

Conference

Conference	Sound and Music Computing Conference
Abbreviated title	SMC
Country/Territory	Finland
City	Espoo
Period	05/07/2017 → 08/07/2017
Internet address	http://smc2017.aalto.fi

Keywords

Audio systems
acoustic signal processing

Access to Document

valimaki-et-al-SMC17_p42Final published version, 449 KBLicence: CC BY

http://smc2017.aalto.fi/media/materials/proceedings/SMC17_p42.pdfLicence: CC BY

Aalto Acoustics Lab
Pulkki, V. (Manager)
School of Electrical Engineering
Facility/equipment: Facility

Cite this

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title = "FFT-based dynamic range compression",

abstract = "Many of the dynamic range compressor (DRC) designs that are deployed in the marketplace today are constrained to operate in the time-domain; therefore, they offer only temporally dependent control of the amplitude envelope of a signal. Designs that offer an element of frequency dependency, are often restricted to perform specific tasks intended by the developer. Therefore, in order to realise a more flexible DRC implementation, this paper proposes ageneralised time-frequency domain design that accommodates both temporally-dependent and frequency-dependent dynamic range control; for which an FFT-based implementation is also presented. Examples given in this paper reveal how the design can be tailored to perform a variety of tasks, using simple parameter manipulation; such as frequency-depended ducking for automatic-mixing purposes and high-resolution multi-band compression.",

keywords = "Audio systems, acoustic signal processing",

author = "Leo McCormack and Vesa V{\"a}lim{\"a}ki",

year = "2017",

month = jul,

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language = "English",

series = "Proceedings of the Sound and Music Computing Conferences",

publisher = "Aalto University",

pages = "42--49",

editor = "Tapio Lokki and Jukka P{\"a}tynen and Vesa V{\"a}lim{\"a}ki",

booktitle = "Proceedings of the 14th Sound and Music Computing Conference",

address = "Finland",

note = "Sound and Music Computing Conference, SMC ; Conference date: 05-07-2017 Through 08-07-2017",

url = "http://smc2017.aalto.fi",

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McCormack, L & Välimäki, V 2017, FFT-based dynamic range compression. in T Lokki, J Pätynen & V Välimäki (eds), Proceedings of the 14th Sound and Music Computing Conference. Proceedings of the Sound and Music Computing Conferences, Aalto University, Espoo, Finland, pp. 42-49, Sound and Music Computing Conference, Espoo, Finland, 05/07/2017. <http://smc2017.aalto.fi/media/materials/proceedings/SMC17_p42.pdf>

FFT-based dynamic range compression. / McCormack, Leo; Välimäki, Vesa.
Proceedings of the 14th Sound and Music Computing Conference. ed. / Tapio Lokki; Jukka Pätynen; Vesa Välimäki. Espoo, Finland: Aalto University, 2017. p. 42-49 (Proceedings of the Sound and Music Computing Conferences).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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N2 - Many of the dynamic range compressor (DRC) designs that are deployed in the marketplace today are constrained to operate in the time-domain; therefore, they offer only temporally dependent control of the amplitude envelope of a signal. Designs that offer an element of frequency dependency, are often restricted to perform specific tasks intended by the developer. Therefore, in order to realise a more flexible DRC implementation, this paper proposes ageneralised time-frequency domain design that accommodates both temporally-dependent and frequency-dependent dynamic range control; for which an FFT-based implementation is also presented. Examples given in this paper reveal how the design can be tailored to perform a variety of tasks, using simple parameter manipulation; such as frequency-depended ducking for automatic-mixing purposes and high-resolution multi-band compression.

AB - Many of the dynamic range compressor (DRC) designs that are deployed in the marketplace today are constrained to operate in the time-domain; therefore, they offer only temporally dependent control of the amplitude envelope of a signal. Designs that offer an element of frequency dependency, are often restricted to perform specific tasks intended by the developer. Therefore, in order to realise a more flexible DRC implementation, this paper proposes ageneralised time-frequency domain design that accommodates both temporally-dependent and frequency-dependent dynamic range control; for which an FFT-based implementation is also presented. Examples given in this paper reveal how the design can be tailored to perform a variety of tasks, using simple parameter manipulation; such as frequency-depended ducking for automatic-mixing purposes and high-resolution multi-band compression.

KW - Audio systems

KW - acoustic signal processing

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FFT-based dynamic range compression

Abstract

Publication series

Conference

Keywords

Access to Document

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Equipment

Aalto Acoustics Lab

Cite this