My experiments with music and machine learning: A.I. (Art-typical Intelligence)

Recently, I have become very interested in machine learning and A.I. in musical production.

So, in the spare time, I started a machine learning project focused on music creation, using my own composition style.
Using Magenta [1] (a python library based on Tensorflow) I trained an A.I. with all music i composed during the last twenty years (almost all, a lot of songs was never transcripted).

The result was (obviously) a series of strange melodies: nothing usable without a large amount of adjustments, but a good starting point for a new composition.

From this experiment, I’ve got some interesting points, that i turned into a collection of 4 strange, experimental tracks.

Unusual, but not to different from my recent compositions.

You can listen it on Spotify:


References

  1. magenta/magenta: Magenta: Music and Art Generation with Machine Intelligence

Related posts

  1. “Handle With Care”: a bit classic, a bit J-Pop
  2. “L’abbraccio più forte”, by Valerio Berruti
  3. “Inertial Damper”, my new electronic album, is out!
  4. ‘Deja Vu’, the mistery song
  5. “My piano didn’t fit in the elevator!”, a piano album