Audio peak reduction using a synced allpass filter

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

doi:10.1109/ICASSP43922.2022.9747877

Audio peak reduction using a synced allpass filter

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

AAC Technologies Solutions

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

8 Sitaatiot (Scopus)

315 Lataukset (Pure)

Abstrakti

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.

Alkuperäiskieli	Englanti
Otsikko	Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022
Julkaisupaikka	Singapore
Kustantaja	IEEE
Sivut	1006-1010
Sivumäärä	5
ISBN (elektroninen)	978-1-6654-0540-9
DOI - pysyväislinkit	https://doi.org/10.1109/ICASSP43922.2022.9747877
Tila	Julkaistu - 2022
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	IEEE International Conference on Acoustics, Speech, and Signal Processing - Singapore, Singapore Kesto: 23 toukok. 2022 → 27 toukok. 2022

Julkaisusarja

Nimi	IEEE International Conference on Acoustics, Speech and Signal Processing
Vuosikerta	2022-May
ISSN (painettu)	1520-6149

Conference

Conference	IEEE International Conference on Acoustics, Speech, and Signal Processing
Lyhennettä	ICASSP
Maa/Alue	Singapore
Kaupunki	Singapore
Ajanjakso	23/05/2022 → 27/05/2022

Rahoitus

˚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). 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.

Pääsy asiakirjaan

10.1109/ICASSP43922.2022.9747877

AudioPeakReduction_ICASSP2022_SchlechtAccepted author manuscript, 699 KB

Muut tiedostot ja linkit

Linkki julkaisuun Scopuksessa

3 Päättynyt

-: NordicSMC Aalto
Välimäki, V. (Vastuullinen johtaja) & Pulkki, V. (Projektin jäsen)
01/01/2018 → 31/12/2023
Projekti: Other external funding: Other foreign funding
NordicSMC: Nordic Sound and Music Computing Network
Välimäki, V. (Vastuullinen johtaja), McCrea, M. (Projektin jäsen), Mikkonen, O. (Projektin jäsen), Louise, B. (Projektin jäsen), Martinez Ornelas, A. (Projektin jäsen), Tuovinen, J. (Projektin jäsen), Sinjanakhom, T. (Projektin jäsen), Fagerström, J. (Projektin jäsen), Akov, I. (Projektin jäsen), Parkkola, K. (Projektin jäsen), Roberts, J. (Projektin jäsen), Prawda, K. (Projektin jäsen) & Lindfors, J. (Projektin jäsen)
01/01/2018 → 31/12/2023
Projekti: Other external funding: Other foreign funding
-: NordicSMC Aalto
Välimäki, V. (Vastuullinen johtaja), Fierro, L. (Projektin jäsen), Alary, B. (Projektin jäsen), Liski, J. (Projektin jäsen), Fagerström, J. (Projektin jäsen), Prawda, K. (Projektin jäsen), Pulkki, V. (Projektin jäsen), Wirler, S. (Projektin jäsen), Tuovinen, J. (Projektin jäsen), Moliner, E. (Projektin jäsen), Shah, S. (Projektin jäsen) & Wright, A. (Projektin jäsen)
01/01/2018 → 31/12/2023
Projekti: Other external funding: Other foreign funding

Akustiikan laboratorio
Pulkki, V. (Manager)
Sähkötekniikan korkeakoulu
Laitteistot/tilat: Facility

Siteeraa tätä

Schlecht, S. J., Fierro, L., Välimäki, V., & Backman, J. (2022). Audio peak reduction using a synced allpass filter. teoksessa Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 (Sivut 1006-1010). (IEEE International Conference on Acoustics, Speech and Signal Processing; Vuosikerta 2022-May). IEEE. https://doi.org/10.1109/ICASSP43922.2022.9747877

@inproceedings{f5b16f9ce05345b48ad4e5528dbdb608,

title = "Audio peak reduction using a synced allpass filter",

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.",

keywords = "Audio systems, digital filters, music, optimization, sound enhancement",

author = "Schlecht, \{Sebastian J.\} and Leonardo Fierro and Vesa V{\"a}lim{\"a}ki and Juha Backman",

note = "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: {\textcopyright} 2022 IEEE; IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP ; Conference date: 23-05-2022 Through 27-05-2022",

year = "2022",

doi = "10.1109/ICASSP43922.2022.9747877",

language = "English",

series = "IEEE International Conference on Acoustics, Speech and Signal Processing",

publisher = "IEEE",

pages = "1006--1010",

booktitle = "Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022",

address = "United States",

}

Schlecht, SJ, Fierro, L, Välimäki, V & Backman, J 2022, Audio peak reduction using a synced allpass filter. julkaisussa Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022. IEEE International Conference on Acoustics, Speech and Signal Processing, Vuosikerta 2022-May, IEEE, Singapore, Sivut 1006-1010, IEEE International Conference on Acoustics, Speech, and Signal Processing, Singapore, Singapore, 23/05/2022. https://doi.org/10.1109/ICASSP43922.2022.9747877

Audio peak reduction using a synced allpass filter. / Schlecht, Sebastian J.; Fierro, Leonardo; Välimäki, Vesa et al.
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022. Singapore: IEEE, 2022. s. 1006-1010 (IEEE International Conference on Acoustics, Speech and Signal Processing; Vuosikerta 2022-May).

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

TY - GEN

T1 - Audio peak reduction using a synced allpass filter

AU - Schlecht, Sebastian J.

AU - Fierro, Leonardo

AU - Välimäki, Vesa

AU - Backman, Juha

N1 - 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

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - Audio systems

KW - digital filters

KW - music

KW - optimization

KW - sound enhancement

UR - https://www.scopus.com/pages/publications/85134018076

U2 - 10.1109/ICASSP43922.2022.9747877

DO - 10.1109/ICASSP43922.2022.9747877

M3 - Conference article in proceedings

AN - SCOPUS:85134018076

T3 - IEEE International Conference on Acoustics, Speech and Signal Processing

SP - 1006

EP - 1010

BT - Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022

PB - IEEE

CY - Singapore

T2 - IEEE International Conference on Acoustics, Speech, and Signal Processing

Y2 - 23 May 2022 through 27 May 2022

ER -

Audio peak reduction using a synced allpass filter

Abstrakti

Julkaisusarja

Conference

Rahoitus

Pääsy asiakirjaan

Muut tiedostot ja linkit

Sormenjälki

Projektit

-: NordicSMC Aalto

NordicSMC: Nordic Sound and Music Computing Network

-: NordicSMC Aalto

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Akustiikan laboratorio

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