Deep Learning for Music

Deep Learning | 30 September 2018


Just like Computer Vision getting transformed after the implementation of Convolutional Neural Network in 2012, it’s time to apply Deep Learning algorithms for Music. This new way of analyzing, characterizing and generating music using Deep Neural Networks will assist (not replace!) a musician or a composer to produce unexplored sounds and styles. In addition, these algorithms with interactive interfaces will definitely enhance the creative potential of human beings through AI.

In this blog post, I have collected some resources such as papers, libraries, demos, people and teams working on applying Deep Learning for Music. Feel free to share or bookmark this page. I will keep updating this page with more resources as I learn more in this domain.




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In case if you found something useful to add to this article or you found a bug in the code or would like to improve some points mentioned, feel free to write it down in the comments. Hope you found something useful here.

Happy learning!