Inorganimate

by dadabots

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Orgah 00:51
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Shadoxical 01:22
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Clost 01:15

about

This neural metal album is part of a submission to NIPS 2017 Workshop for Machine Learning, Creativity and Design: "Generating Black Metal and Math Rock"

Music was generated autoregressively with a sample recurrent neural network* trained on raw audio from the album Nothing by Meshuggah. The machine listened to Nothing 30 times over several days. The machine generated 1300 minutes of audio. After listening to Nothing 100 times over 15 years, a human listened to the machine audio, chose 18 sections from varied evolution points, and taped them together into a 10 minute album. Titles were generated by a Markov chain. The album cover was generated by neural style transferring the Nothing cover with itself.

credits

released December 15, 2017

* SampleRNN [Soroush Mehri et al. 2017]

This site may contain copyrighted material the use of which has not always been specifically authorized by the copyright owner. We are making such material available non-commercially in an effort to educate and advance research in machine learning, generative music, music information retrieval, computational creativity, etc. We believe this constitutes a ‘fair use’ of any such copyrighted material as provided for in section 107 of the US Copyright Law.

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dadabots Boston, Massachusetts

AI emulates musicians dead or alive

We use raw audio neural networks to generate music in modern genres like death metal, mathcore, skatepunk.

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