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The human auditory system has been shown to be more sensitive to transient signals than stationary signals given the same energy. Conventional second-order measurements based on energy or root-mean-squared value cannot adequately characterize the auditory perception of non-stationary audio signals. A fourth-order dynamic range control (DRC) algorithm is proposed in this study. The perceptual quality and the dynamic range reduction effectiveness are evaluated for both second-order and fourth-order DRC algorithms. Evaluation results show that our proposed fourth-order DRC algorithm offers better balance of perceptual quality and dynamic range reduction than the conventional second-order approach.
Author (s): Yang, Qing;
Harris, John;
Affiliation:
University of Florida, Gainesville, FL, USA
(See document for exact affiliation information.)
AES Convention: 129
Paper Number:8179
Publication Date:
2010-11-06
Session subject:
Loudness and Dynamics
DOI:
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Yang, Qing; Harris, John; 2010; Dynamic Range Control for Audio Signals Using Fourth-Order Level Estimation [PDF]; University of Florida, Gainesville, FL, USA; Paper 8179; Available from: https://aes.org/publications/elibrary-page/?id=15602
Yang, Qing; Harris, John; Dynamic Range Control for Audio Signals Using Fourth-Order Level Estimation [PDF]; University of Florida, Gainesville, FL, USA; Paper 8179; 2010 Available: https://aes.org/publications/elibrary-page/?id=15602
@inproceedings{Yang2010dynamic,
title={{Dynamic Range Control for Audio Signals Using Fourth-Order Level Estimation}},
author={Yang, Qing and Harris, John},
year={2010},
month={nov},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 8179; AES Convention 129; November 2010},
number={8179},
organization={AES},
}
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