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csteinmetz1/README.md

Hi there 👋

I am working on designing machine learning systems for advancing audio engineering.

This includes things like:

I have also built a number of audio packages, such as auraloss for audio-focused loss functions, as well as pyloudnorm for simple measurement of perceptual loudness, and pymixconsole a headless DAW in Python.

See my website for more details, and please reach out if you have any questions, or just would like to chat about audio and ML.

Pinned

  1. auraloss Public

    Collection of audio-focused loss functions in PyTorch

    Python 269 32

  2. pyloudnorm Public

    Flexible audio loudness meter in Python with implementation of ITU-R BS.1770-4 loudness algorithm

    Python 281 31

  3. steerable-nafx Public

    Steerable discovery of neural audio effects

    Jupyter Notebook 157 7

  4. ronn Public

    Randomized overdrive neural networks

    Jupyter Notebook 92 8

  5. micro-tcn Public

    Efficient neural networks for analog audio effect modeling

    Python 62 5

  6. IIRNet Public

    Direct design of biquad filter cascades with deep learning by sampling random polynomials.

    Python 49 5

852 contributions in the last year

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Contribution activity

April 2022

Created 2 commits in 2 repositories
3 contributions in private repositories Apr 1

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