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  4. Increasing Loudness In Audio Signals: A Perceptually Motivated Approach To Preserve Audio Quality
 
conference paper

Increasing Loudness In Audio Signals: A Perceptually Motivated Approach To Preserve Audio Quality

Jeannerot, A.
•
de Koeijer, N.
•
Martinez-Nuevo, P.
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January 1, 2022
2022 Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp)
47th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

We present a method to maintain the subjective perception of volume of audio signals and, at the same time, reduce their absolute peak value. We focus on achieving this without compromising the perceived audio quality. This is specially useful, for example, to maximize the perceived reproduction level of loudspeakers where simply amplifying the signal amplitude, and hence their peak value, is limited due to already constrained physical designs. In particular, we minimize the absolute peak value subject to a constraint based on auditory masking. This limits the perceptual difference between the original and the modified signals. Moreover, this constraint can be tuned and allows to control the resulting audio quality. We show results comparing loudness and audio quality as a function of peak reduction. These results suggest that our method presents the best trade-off between loudness and audio quality when compared against classical methods based on compression and clipping.

  • Details
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Type
conference paper
DOI
10.1109/ICASSP43922.2022.9747589
Web of Science ID

WOS:000864187901055

Author(s)
Jeannerot, A.
de Koeijer, N.
Martinez-Nuevo, P.
Moller, M. B.
Dyreby, J.
Prandoni, P.  
Date Issued

2022-01-01

Publisher

IEEE

Publisher place

New York

Published in
2022 Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp)
ISBN of the book

978-1-6654-0540-9

Series title/Series vol.

International Conference on Acoustics Speech and Signal Processing ICASSP

Start page

1001

End page

1005

Subjects

Acoustics

•

Computer Science, Artificial Intelligence

•

Engineering, Electrical & Electronic

•

Acoustics

•

Computer Science

•

Engineering

•

loudness increase

•

crest factor reduction

•

peak reduction

•

perceptual models

•

audio signal processing

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LCAV  
Event nameEvent placeEvent date
47th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Singapore, SINGAPORE

May 22-27, 2022

Available on Infoscience
January 16, 2023
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/193785
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