Genetic Reverb: Synthesizing Artificial Reverberant Fields via Genetic Algorithms

Ly, Edward; Villegas, Julián

doi:10.1007/978-3-030-43859-3_7

Cited by 2 publications

(2 citation statements)

References 6 publications

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“…K-means clustering + tree-search [3] and evolutionary algorithms such as genetic algorithms [17,19] and genetic programming [12] have been applied to this problem with varying levels of success. Genetic algorithms have also been used to model audio effects directly [11]. However, these systems suffer from one or more of the following problems:…”

Section: Related Workmentioning

confidence: 99%

SerumRNN: Step by Step Audio VST Effect Programming

Mitcheltree

Koike

2021

Artificial Intelligence in Music, Sound, Art and Design

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Learning to program an audio production VST synthesizer is a time consuming process, usually obtained through inefficient trial and error and only mastered after years of experience. As an educational and creative tool for sound designers, we propose SerumRNN : a system that provides step-by-step instructions for applying audio effects to change a user's input audio towards a desired sound. We apply our system to Xfer Records Serum: currently one of the most popular and complex VST synthesizers used by the audio production community. Our results indicate that SerumRNN is consistently able to provide useful feedback for a variety of different audio effects and synthesizer presets. We demonstrate the benefits of using an iterative system and show that SerumRNN learns to prioritize effects and can discover more efficient effect order sequences than a variety of baselines.

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Section: Related Workmentioning

confidence: 99%

SerumRNN: Step by Step Audio VST Effect Programming

Mitcheltree

Koike

2021

Artificial Intelligence in Music, Sound, Art and Design

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“…Parts of this article were previously published in [ 3 ]. The core of the research remains the same, but has since been expanded upon for this article with the following changes: additional background information, updates to the methodology and subsequent experimental results, an additional (subjective) evaluation method, an expanded conclusion, and general rewording for improved clarity.…”

Section: Introductionmentioning

confidence: 99%

Generating Artificial Reverberation via Genetic Algorithms for Real-Time Applications

Villegas

2020

Entropy

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We introduce a Virtual Studio Technology (VST) 2 audio effect plugin that performs convolution reverb using synthetic Room Impulse Responses (RIRs) generated via a Genetic Algorithm (GA). The parameters of the plugin include some of those defined under the ISO 3382-1 standard (e.g., reverberation time, early decay time, and clarity), which are used to determine the fitness values of potential RIRs so that the user has some control over the shape of the resulting RIRs. In the GA, these RIRs are initially generated via a custom Gaussian noise method, and then evolve via truncation selection, random weighted average crossover, and mutation via Gaussian multiplication in order to produce RIRs that resemble real-world, recorded ones. Binaural Room Impulse Responses (BRIRs) can also be generated by assigning two different RIRs to the left and right stereo channels. With the proposed audio effect, new RIRs that represent virtual rooms, some of which may even be impossible to replicate in the physical world, can be generated and stored. Objective evaluation of the GA shows that contradictory combinations of parameter values will produce RIRs with low fitness. Additionally, through subjective evaluation, it was determined that RIRs generated by the GA were still perceptually distinguishable from similar real-world RIRs, but the perceptual differences were reduced when longer execution times were used for generating the RIRs or the unprocessed audio signals were comprised of only speech.

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Genetic Reverb: Synthesizing Artificial Reverberant Fields via Genetic Algorithms

Cited by 2 publications

References 6 publications

SerumRNN: Step by Step Audio VST Effect Programming

SerumRNN: Step by Step Audio VST Effect Programming

Generating Artificial Reverberation via Genetic Algorithms for Real-Time Applications

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