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A new approach for automatically equalizing an audio signal toward a target frequency spectrum is presented. The algorithm is based on the Yule-Walker method and designs recursive IIR digital filters using a least-squares fitting to any desired frequency response. The target equalization curve is obtained from the spectral distribution analysis of a large dataset of popular commercial recordings. A real-time C++ VST plug-in and an off-line Matlab implementation have been created. Straightforward objective evaluation is also provided, where the output frequency spectra are compared against the target equalization curve and the ones produced by an alternative equalization method.
Author (s): Ma, Zheng;
Reiss, Joshua D.;
Black, Dawn A. A.;
Affiliation:
Queen Mary University of London, London, UK
(See document for exact affiliation information.)
AES Convention: 134
Paper Number:8892
Publication Date:
2013-05-06
Session subject:
Applications in Audio
DOI:
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Ma, Zheng; Reiss, Joshua D.; Black, Dawn A. A.; 2013; Implementation of an Intelligent Equalization Tool Using Yule-Walker for Music Mixing and Mastering [PDF]; Queen Mary University of London, London, UK; Paper 8892; Available from: https://aes.org/publications/elibrary-page/?id=16792
Ma, Zheng; Reiss, Joshua D.; Black, Dawn A. A.; Implementation of an Intelligent Equalization Tool Using Yule-Walker for Music Mixing and Mastering [PDF]; Queen Mary University of London, London, UK; Paper 8892; 2013 Available: https://aes.org/publications/elibrary-page/?id=16792
@inproceedings{Ma2013implementation,
title={{Implementation of an Intelligent Equalization Tool Using Yule-Walker for Music Mixing and Mastering}},
author={Ma, Zheng and Reiss, Joshua D. and Black, Dawn A. A.},
year={2013},
month={may},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 8892; AES Convention 134; May 2013},
number={8892},
organization={AES},
}
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