mlsanityData to 7 Oct 2026

Deep Learning Tools for Audacity: Helping Researchers Expand the Artist's Toolkit

arXiv 2110.13323 ↗First posted 25 Oct 2021cs.SD cs.LG eess.AScited by 1

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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.

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5 of 9 references.

References · 5

  1. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,160
  2. 2020DDSP: Differentiable Digital Signal Processingcited by 177
  3. 2019Music Source Separation in the Waveform Domaincited by 98
  4. 2020Asteroid: the PyTorch-based audio source separation toolkit for researcherscited by 45
  5. 2020AI Song Contest: Human-AI Co-Creation in Songwritingcited by 25

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