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Applying machine learning to audio
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Applying machine learning to audio
  • Nomono
  • Trondheim, Norway

Highlights

  • Arctic Code Vault Contributor

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  1. Evolving Artificial Neural Networks for Cross-Adaptive Audio Effects

    Python 79 5

  2. A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.

    Python 248 31

  3. A DNN that takes in x, y and outputs colors at that point to approximately "paint" an image. A toy problem.

    Python 36 13

  4. Use a genetic algorithm to evolve an image by putting emojies on a canvas

    Python 52 3

  5. A synthwave-style demo that ranked 1st in ARM DemoCompo in Trondheim, 2018. Designed to be run in Chrome on a Samsung Galaxy S9

    JavaScript 12 1

  6. Automatic temporally coherent video colorization designed to work well on animated cartoons and demos

    Python 15 2

1,304 contributions in the last year

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Contribution activity

November 1, 2020

iver56 has no activity yet for this period.

October 2020

Created a pull request in asteroid-team/torch-audiomentations that received 2 comments

Enable variability within a batch

Torch-audiomentations should support batch processing. Each batch contains n (potentially multichannel) audio snippets. Each audio snippet within a…

+306 −160 2 comments
38 contributions in private repositories Oct 1 – Oct 23

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