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csteinmetz1/README.md

Hi there ๐Ÿ‘‹

I am an AI researcher leveraging machine learning for audio signal processing.

I am the developer of a number of audio and ML packages, such as dasp which implements our research in differentiable signal processing, 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. adobe-research/DeepAFx-ST adobe-research/DeepAFx-ST Public

    DeepAFx-ST - Style transfer of audio effects with differentiable signal processing. Please see https://csteinmetz1.github.io/DeepAFx-ST/

    Python 331 44

  2. auraloss auraloss Public

    Collection of audio-focused loss functions in PyTorch

    Python 662 65

  3. dasp-pytorch dasp-pytorch Public

    Differentiable audio signal processors in PyTorch

    Python 200 4

  4. pyloudnorm pyloudnorm Public

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

    Python 581 53

  5. ai-audio-startups ai-audio-startups Public

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

    1.4k 123

  6. micro-tcn micro-tcn Public

    Efficient neural networks for analog audio effect modeling

    Python 139 9