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danieldjohnson/biaxial-rnn-music-composition

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A recurrent neural network designed to generate classical music.

4 mentions on Hacker News by 1 person: 0 stories, 4 comments · first 2022-02-13 · latest 2023-11-29

Mentions per year 4 mentions · busiest year 2023 (3)
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  1. Note that MIDI is a lot more effective when it comes to ML/AI, since it's multiple orders of magnitude less data. Daniel D. Johnson's (formerly known as Hexahedria, hired by Google Brain) model biaxial-rnn-music-composition is from 2015,…
    comment by zozbot234 · 2023-11-29 · in MusicXML
  2. You can generate very interesting music simply by working with MIDI as opposed to sampled audio (slashing complexity by orders of magnitude!) and starting from a good model architecture. Daniel D. Johnson's (formerly known as Hexahedria,…
  3. The old Biaxial-RNN by Daniel D. Johnson generates very good output for MIDI music, albeit limited to a single keyboard-like instrument. It's available at https://github.com/danieldjohnson/biaxial-rnn-music-composit... and AIUI there's a…
    comment by zozbot234 · 2023-01-27 · in MusicLM: Generating Music from Text
  4. This comment should not be disregarded so easily. The reason why deep sequence learning has the best results in generating complex, highly contrapuntal music (it's more like noodling or improvisation than an actual compositional process,…
    comment by zozbot234 · 2022-02-13 · in My approach to automatic musical composition