Audio peak reduction using a synced allpass filter

Sebastian J. Schlecht, Leonardo Fierro, Vesa Välimäki, Juha Backman

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

3 Citations (Scopus)
230 Downloads (Pure)

Abstract

Peak reduction is a common step used in audio playback chains to increase the loudness of a sound. The distortion introduced by a conventional nonlinear compressor can be avoided with the use of an allpass filter, which provides peak reduction by acting on the signal phase. This way, the signal energy around a waveform peak can be smeared while maintaining the total energy of the signal. In this paper, a new technique for linear peak amplitude reduction is proposed based on a Schroeder allpass filter, whose delay line and gain parameters are synced to match peaks of the signal's autocorrelation function. The proposed method is compared with a previous search method and is shown to be often superior. An evaluation conducted over a variety of test signals indicates that the achieved peak reduction spans from 0 to 5 dB depending on the input waveform. The proposed method is widely applicable to real-time sound reproduction with a minimal computational processing budget.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022
Place of PublicationSingapore
PublisherIEEE
Pages1006-1010
Number of pages5
ISBN (Electronic)978-1-6654-0540-9
DOIs
Publication statusPublished - 2022
MoE publication typeA4 Conference publication
EventIEEE International Conference on Acoustics, Speech, and Signal Processing - Singapore, Singapore
Duration: 23 May 202227 May 2022

Publication series

NameIEEE International Conference on Acoustics, Speech and Signal Processing
Volume2022-May
ISSN (Print)1520-6149

Conference

ConferenceIEEE International Conference on Acoustics, Speech, and Signal Processing
Abbreviated titleICASSP
Country/TerritorySingapore
CitySingapore
Period23/05/202227/05/2022

Keywords

  • Audio systems
  • digital filters
  • music
  • optimization
  • sound enhancement

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  • -: NordicSMC Aalto

    Välimäki, V. (Principal investigator)

    01/01/201831/12/2023

    Project: Other external funding: Other foreign funding

  • -: NordicSMC Aalto

    Välimäki, V. (Principal investigator)

    01/01/201831/12/2023

    Project: Other external funding: Other foreign funding

  • NordicSMC: Nordic Sound and Music Computing Network

    Välimäki, V. (Principal investigator)

    01/01/201831/12/2023

    Project: Other external funding: Other foreign funding

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