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Open Questions

- what are our infrasound installations?

TODO

- need to integrate the IAC Driver IAC Bus 1-4 in with ableton
    - use max4live patch and AbletonLiveSet
         maxpat: https://github.com/tensorflow/magenta-demos/tree/master/ai-jam-ableton#download-max-patches
         als: https://github.com/tensorflow/magenta-demos/tree/master/ai-jam-ableton#download-live-set

Other, less important Questions

- what are the computational demands of a vanilla RNN vs something like Coconet
- is any of this tooling useful?
    - TouchDesigner substitute? https://osculator.net/
    - https://www.ableton.com/en/packs/connection-kit/

Notes

- magenta midi interface: https://github.com/tensorflow/magenta/tree/master/magenta/interfaces/midi
- magenta ableton plugin
    - start by dragging magenta_studio amxd into ableton midi channel
      https://magenta.tensorflow.org/studio/ableton-live

Resources

- Deep Learning for Audio
    https://forums.fast.ai/t/deep-learning-with-audio-thread/38123?fbclid=IwAR3kdKKsroTnwA2h1xzf4zvOGzdUh1aL1RxTXUCrWtqccGnBx6zSdDcdOYM
- Notes on Music Information Retrieval (w/ ipynbs)
    https://musicinformationretrieval.com/index.html

Reads

- https://magenta.tensorflow.org/mljam
    getting a machine learning model to play on beat and be stylistically consistent can be quite challenging
- https://towardsdatascience.com/neural-networks-for-music-generation-97c983b50204
    Tonal Distance: measures the harmonicity between a pair of tracks. Larger tonal distance implies weaker inter-track harmonic relations.

Datasets

- coconet
    - https://github.com/czhuang/JSB-Chorales-dataset
    - pre-trained checkpoints: http://download.magenta.tensorflow.org/models/coconet/checkpoint.zip

Installation

- export PYTHONPATH=$PYTHONPATH:/path/to/synosc
- clone magenta and START READING

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Python services for signal processing and generation

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