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Generating Matrix Coefficients for Feedback Delay Networks Using Genetic Algorithm

机译:使用遗传算法生成反馈延迟网络的矩阵系数

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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. We designed a GA to be used in a delay-based reverb that would be more desirable in the use of real-time applications than the more computationally expensive convolution reverb.
机译:以下纸张分析了遗传算法(GA)与用于音频混响应用的长度4反馈延迟网络的使用。虽然可以手动将系数值分配给反馈网络,但是我们的目标是自动化这些系数的产生,以帮助产生具有与尽可能类似的真实房间混响的特征的混响。我们设计了在基于延迟的混响中使用的GA,这在使用实时应用方面比较昂贵的昂贵的卷积混响更为希望。

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