Audio peak reduction using a synced allpass filter
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A4 Artikkeli konferenssijulkaisussa
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Date
2022
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Language
en
Pages
5
1006-1010
1006-1010
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Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022, IEEE International Conference on Acoustics, Speech and Signal Processing, Volume 2022-May
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.Description
Funding Information: This research has been financed in part by AAC Technologies through the Planer project (Aalto Univ. project no. 410970). This work belongs to the activities of the NordicSMC network (NordForsk project no. 86892). We thank Thomas McKenzie for his editorial suggestions. Publisher Copyright: © 2022 IEEE
Keywords
Audio systems, digital filters, music, optimization, sound enhancement
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Citation
Schlecht, S J, Fierro, L, Välimäki, V & Backman, J 2022, Audio peak reduction using a synced allpass filter . in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 . IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 2022-May, IEEE, Singapore, pp. 1006-1010, IEEE International Conference on Acoustics, Speech, and Signal Processing, Singapore, Singapore, 23/05/2022 . https://doi.org/10.1109/ICASSP43922.2022.9747877