Generated by the Google Magenta PerformanceRNN

Dream Theater 3 Trail

Dream Theater 3 Lost

Conditioned second

Conditioned first

WaveNet trained over 999999 steps on 6 hours of cathedral music: https://www.youtube.com/watch?v=yR2ElHDhPVo

Lost Temple 999999

WaveNet trained over 10 hours of dubstep music for 519900 steps

Dubstep - Generated - 519900

Sample from the Jukebox pretrained model using the colab notebook implementation with a pretrained model: https://colab.research.google.com/github/openai/jukebox/blob/master/jukebox/Interacting_with_Jukebox.ipynb

https://openai.com/blog/jukebox/

Jukebox generated Pop music 0

Continuacion sample generated by the Google Magenta's piano transformer. The prior track was generated by the Magenta's PerformanceRNN.

Satie Continuation

Final assignment Computational Music Creativity Pompeu Fabra University.

Rhodes does not like Pop [EP]

Berna Ciao

Músico independiente, productor e ingeniero de grabación y mezcla.
nschmidtg@gmail.com