Deep Learning Tools for Audacity: Helping Researchers Expand the Artist's Toolkit
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Abstract (arXiv)
We present a software framework that integrates neural networks into the popular open-source audio editing software, Audacity, with a minimal amount of developer effort. In this paper, we showcase some example use cases for both end-users and neural network developers. We hope that this work fosters a new level of interactivity between deep learning practitioners and end-users.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 5 of its 9 references that are in the map. First posted on arXiv 25 Oct 2021.
Builds on
5 of 9 references.
References · 5
- 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,160
- 2020DDSP: Differentiable Digital Signal Processingcited by 177
- 2019Music Source Separation in the Waveform Domaincited by 98
- 2020Asteroid: the PyTorch-based audio source separation toolkit for researcherscited by 45
- 2020AI Song Contest: Human-AI Co-Creation in Songwritingcited by 25
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Citing papers per year: 2024: 1.
1 paper.