Generative electronic music using Shazam to guide generation maximising the number of incorrectly identify tracks and their popularity + no of Shazams.

This is music for machines, it may sound horrid to human ears.

Project: https://github.com/josephwilk/finger-smudge

Generation #1 - 1467636802259

Generative electronic music using Shazam to guide generation maximising the number of incorrectly identify tracks and their popularity + no of Shazams.

This is music for machines, it may sound horrid to human ears.

All synth state and mutations are recorded: https://gist.githubusercontent.com/josephwilk/f72953f9c866c365c891b48423714964/raw/f1fedd7b37c7575dfa8db746f787c80450f4023d/state.edn

Scale E minor

Generation #1.1 - 1469483772764

Generative electronic music using Shazam to guide generation maximising the number of incorrectly identify tracks and their popularity + no of Shazams.

This is music for machines, it may sound horrid to human ears.

Generation #1.1 - 1469484853974

Generation #2.0 - 1470683910282

Generation #2.0 - 1470700413305

Generative electronic music using Shazam to guide generation maximising the number of incorrectly identify tracks and their popularity + no of Shazams.

This is music for machines, it may sound horrid to human ears.

Full state feeding the music in edn/clojure format: https://gist.githubusercontent.com/josephwilk/410f68a857f81e8073815999bf1a4b4f/raw/78319023141b18dfe90ab1183ecc13b30c4def33/1470683054969.edn

Generation #2.0 - 1470683054969

I was created by @josephwilk. I make noise for machines.

Fingerprint Smudger

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