Coditany of Timeness

by dadabots

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Memoryearion 02:29
Timension 01:37
Energiveness 02:09
Inhusk 03:00


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

This album was generated with a recurrent neural network* trained on raw audio from the album "Diotima" by Krallice. All titles were generated by a Markov chain. The album cover was created with neural style transfer.

* SampleRNN [Soroush Mehri et al. 2017]


released November 16, 2017

This is the original album we trained our bot w/:

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.

"There is no AI, it's just someone else's data"
- - quote by Mario Klingemann


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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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