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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 language | English |
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Title of host publication | Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 |
Place of Publication | Singapore |
Publisher | IEEE |
Pages | 1006-1010 |
Number of pages | 5 |
ISBN (Electronic) | 978-1-6654-0540-9 |
DOIs | |
Publication status | Published - 2022 |
MoE publication type | A4 Conference publication |
Event | IEEE International Conference on Acoustics, Speech, and Signal Processing - Singapore, Singapore Duration: 23 May 2022 → 27 May 2022 |
Publication series
Name | IEEE International Conference on Acoustics, Speech and Signal Processing |
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Volume | 2022-May |
ISSN (Print) | 1520-6149 |
Conference
Conference | IEEE International Conference on Acoustics, Speech, and Signal Processing |
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Abbreviated title | ICASSP |
Country/Territory | Singapore |
City | Singapore |
Period | 23/05/2022 → 27/05/2022 |
Keywords
- Audio systems
- digital filters
- music
- optimization
- sound enhancement
Fingerprint
Dive into the research topics of 'Audio peak reduction using a synced allpass filter'. Together they form a unique fingerprint.Projects
- 3 Finished
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-: NordicSMC Aalto
Välimäki, V. (Principal investigator)
01/01/2018 → 31/12/2023
Project: Other external funding: Other foreign funding
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-: NordicSMC Aalto
Välimäki, V. (Principal investigator)
01/01/2018 → 31/12/2023
Project: Other external funding: Other foreign funding
-
NordicSMC: Nordic Sound and Music Computing Network
Välimäki, V. (Principal investigator)
01/01/2018 → 31/12/2023
Project: Other external funding: Other foreign funding