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The following paper analyzes the use of the Genetic Algorithm (GA) in conjunction with a length-4 feedback delay network for audio reverberation applications. While it is possible to manually assign coefficient values to the feedback network, our goal was to automate the generation of these coefficients to help produce a reverb with characteristics as similar to those of a real room reverberation as possible. To do this we designed a GA to be used in conjunction with a delay-based reverb that would be more desirable in the use of real-time applications than the more computationally expensive convolution reverb.
Author (s): Chemistruck, Michael;
Marcolini, Kyle;
Pirkle, Will;
Affiliation:
University of Miami, Coral Gables, FL, USA
(See document for exact affiliation information.)
AES Convention: 133
Paper Number:8795
Publication Date:
2012-10-06
Session subject:
Analysis and Synthesis of Sound
DOI:
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Chemistruck, Michael; Marcolini, Kyle; Pirkle, Will; 2012; Generating Matrix Coefficients for Feedback Delay Networks Using Genetic Algorithm [PDF]; University of Miami, Coral Gables, FL, USA; Paper 8795; Available from: https://aes.org/publications/elibrary-page/?id=16537
Chemistruck, Michael; Marcolini, Kyle; Pirkle, Will; Generating Matrix Coefficients for Feedback Delay Networks Using Genetic Algorithm [PDF]; University of Miami, Coral Gables, FL, USA; Paper 8795; 2012 Available: https://aes.org/publications/elibrary-page/?id=16537
@inproceedings{Chemistruck2012generating,
title={{Generating Matrix Coefficients for Feedback Delay Networks Using Genetic Algorithm}},
author={Chemistruck, Michael and Marcolini, Kyle and Pirkle, Will},
year={2012},
month={oct},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 8795; AES Convention 133; October 2012},
number={8795},
organization={AES},
}
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