https://github.com/csteinmetz1/steerable-nafx
Steerable discovery of neural audio effects
Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: arxiv.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (9.3%) to scientific vocabulary
Keywords
Repository
Steerable discovery of neural audio effects
Basic Info
- Host: GitHub
- Owner: csteinmetz1
- License: apache-2.0
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://csteinmetz1.github.io/steerable-nafx
- Size: 27.1 MB
Statistics
- Stars: 205
- Watchers: 8
- Forks: 17
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
Abstract
Applications of deep learning for audio effects often focus on modeling analog effects or learning to control effects to emulate a trained audio engineer. However, deep learning approaches also have the potential to expand creativity through neural audio effects that enable new sound transformations. While recent work demonstrated that neural networks with random weights produce compelling audio effects, control of these effects is limited and unintuitive. To address this, we introduce a method for the steerable discovery of neural audio effects. This method enables the design of effects using example recordings provided by the user. We demonstrate how this method produces an effect similar to the target effect, along with interesting inaccuracies, while also providing perceptually relevant controls.
Watch the demo video.
Citation
If you use steerable-nafx in your work please consider citing us.
@inproceedings{steinmetz2021steerable,
title={Steerable discovery of neural audio effects},
author={Steinmetz, Christian J. and Reiss, Joshua D.},
booktitle={5th Workshop on Creativity and Design at NeurIPS},
year={2021}}
Owner
- Name: Christian J. Steinmetz
- Login: csteinmetz1
- Kind: user
- Location: London, UK
- Company: @aim-qmul
- Website: christiansteinmetz.com
- Twitter: csteinmetz1
- Repositories: 79
- Profile: https://github.com/csteinmetz1
Machine learning for Hi-Fi audio. PhD Researcher at C4DM.
GitHub Events
Total
- Watch event: 5
- Fork event: 1
Last Year
- Watch event: 5
- Fork event: 1
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 5
- Total pull requests: 1
- Average time to close issues: about 1 month
- Average time to close pull requests: 7 minutes
- Total issue authors: 5
- Total pull request authors: 1
- Average comments per issue: 1.0
- Average comments per pull request: 1.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- prnvjb (1)
- danuker (1)
- creativeguitar (1)
- 980202006 (1)
- UNdeng (1)
Pull Request Authors
- AK391 (1)