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A companion repository for the Audio Developers Conference 2022 in London containing the live demo.

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Audio Developers Conference 2022 Accompanying Repository

Jan Wilczek

Jumpstart Guide To Deep Learning In Audio For Absolute Beginners: From No Experience And No Datasets To A Deployed Model

A companion repository for the Audio Developers Conference 2022 talk containing the live demo.

Notes on Resources

  1. The dataset for the input signal was assembled using the Fraunhofer IDMT datasets, guitar and bass in particular, thus, I cannot include it in the repository. Feel free to download the dataset from the Fraunhofer website using the form provided therein.
  2. The diode clipper target data was synthesized using LTspice and a model provided by Alec Wright (DiodeClipper.asc file).
  3. If you want to use some ready-made dataset, you can check out Alec's Guitar Amplifier Modeling repo or his Time-Varying Effects repo.

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A companion repository for the Audio Developers Conference 2022 in London containing the live demo.

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  • Python 72.3%
  • AGS Script 27.7%