Genetic Reverb - Genetic Algorithm-based VST Reverb Plugin - File Exchange

Genetic Reverb - Genetic Algorithm-based VST Reverb Plugin

版本 3.5.2.1 (21.5 MB) 作者: Edward Ly

VST plugin that performs convolution reverb from random room impulse responses generated via a genetic algorithm.

https://github.com/edward-ly/GeneticReverb

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5.0

(2)

181.0 次下载

更新时间 2020/12/27

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A VST 2 audio effect plugin written in MATLAB that uses a genetic algorithm to generate a random impulse response describing the reverberation of an artificial room, and uses the impulse response to apply convolution reverb to a signal in real-time. A MATLAB script version (main.m) is also available, which accepts a WAV audio file as input instead. The input is combined with the impulse response via convolution, applying the reverb effect to the pre-recorded audio.

Since no two impulse responses will ever be the same, both the script and the plugin are also able to save the generated impulse responses to new files as well. You can then load the generated impulse response files into other programs such as my simple IR Reverb Pure Data patch (https://github.com/edward-ly/reverb-pd) or the Convolution Reverb device in Ableton Live (https://www.ableton.com/en/packs/convolution-reverb/) to perform the same reverb effect.

A video explaining and demonstrating (an older version of) the plugin is below:

https://www.youtube.com/watch?v=Ef1d6nr7TqE

This plugin was selected as a finalist in the MATLAB Plugin Student Competition at the 147th AES Convention in New York, 2019, then later published in the Special Issue "Artificial Intelligence and Complexity in Art, Music, Games and Design" of the journal "Entropy".

For details regarding generating and running the plugin as well as an explanation of the user parameters in the plugin, see the included README.md file.

引用格式

Ly, Edward, and Julián Villegas. “Generating Artificial Reverberation via Genetic Algorithms for Real-Time Applications.” Entropy, vol. 22, no. 11, MDPI AG, Nov. 2020, p. 1309, doi:10.3390/e22111309.

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MATLAB 版本兼容性

创建方式 R2020b

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平台兼容性

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类别

Signal Processing > Audio Toolbox > Audio Processing Algorithm Design >

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components

components/@GeneticReverb

scripts

无法下载基于 GitHub 默认分支的版本

版本	已发布	发行说明
3.5.2.1	2020/12/27	See release notes for this release on GitHub: https://github.com/edward-ly/GeneticReverb/releases/tag/3.5.2.1	下载
3.5.2	2020/12/27	Modified user parameters, multiple bug fixes.
3.2.1	2020/12/27	Added predelay parameters, modified genetic algorithm, changed some parameter defaults and implementation
3.1.1	2020/1/17	Major reworks to the genetic algorithm (esp. in the initialization step) as well as to the plugin parameters and UI window. Also, a new IR is now automatically generated using initial settings when the plugin is run for the first time.
2.2.0	2019/11/21	-Added parameter that enables/disables normalization of stereo IRs based on RMS amplitude -Code optimizations
2.1.0	2019/11/15	Added an additional toggle parameter to trigger the genetic algorithm to generate new impulse responses (instead of triggering by changing each GA parameter individually).
2.0.1	2019/11/9	- Added ability to save current impulse response to new file (requires write access). - Stereo impulse responses now normalized so that RMS levels are equal. - Multiple improvements to genetic algorithm. - Updated parameters list and values. - etc.
1.4.2.2	2019/8/15	Updated description
1.4.2.1	2019/8/15	Fixed description
1.4.2	2019/8/15	- Re-tuned default parameter values - Improved readability of comments - Function validations
1.4.1	2019/8/15	Updated master branch
1.4.0	2019/8/15

要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。

MLA	Ly, Edward, and Julián Villegas. “Generating Artificial Reverberation via Genetic Algorithms for Real-Time Applications.” Entropy, vol. 22, no. 11, MDPI AG, Nov. 2020, p. 1309, doi:10.3390/e22111309.
APA	Ly, E., & Villegas, J. (2020). Generating Artificial Reverberation via Genetic Algorithms for Real-Time Applications. Entropy, 22(11), 1309. MDPI AG. Retrieved from https://doi.org/10.3390%2Fe22111309
BibTeX	@article{Ly_2020, doi = {10.3390/e22111309}, url = {https://doi.org/10.3390%2Fe22111309}, year = 2020, month = {nov}, publisher = {{MDPI} {AG}}, volume = {22}, number = {11}, pages = {1309}, author = {Edward Ly and Juli{\'{a}}n Villegas}, title = {Generating Artificial Reverberation via Genetic Algorithms for Real-Time Applications}, journal = {Entropy} }

Genetic Reverb - Genetic Algorithm-based VST Reverb Plugin