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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 291 34

  2. pyloudnorm Public

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

    Python 300 33

  3. steerable-nafx Public

    Steerable discovery of neural audio effects

    Jupyter Notebook 165 10

  4. ronn Public

    Randomized overdrive neural networks

    Jupyter Notebook 105 8

  5. micro-tcn Public

    Efficient neural networks for analog audio effect modeling

    Python 75 7

  6. ai-audio-startups Public

    Community list of startups working with AI in audio and music technology

    359 33

1,109 contributions in the last year

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Contribution activity

June 2022

Created 26 commits in 2 repositories
Created 1 repository
Opened 3 pull requests in 1 repository
Opened 3 issues in 2 repositories
csteinmetz1/auraloss 2 open
csteinmetz1/ai-audio-startups 1 closed
90 contributions in private repositories Jun 1 – Jun 11

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