In beta! Launching soon!
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Search through tunes, settings of those tunes, or their notes or comments.Some examples: DeepBach, Glas Herry, M:3/4, K:Cmix, G/A/G/F/ ED, dBd edc.
Currently showing all tunes.
Most recent first. Change to most popular first.
Tune submitted from folkrnn.org yesterday.
Tune submitted from folkrnn.org Dec. 12, 2018.
Tune submitted from folkrnn.org Dec. 10, 2018.
Tune submitted from folkrnn.org Dec. 9, 2018.
The Machine Folk Session is a project funded by the UK Arts and Humanities Research Council, grant no. AH/R004706/1: "Engaging three user communities with applications and outcomes of computational music creativity". See also: folk-rnn, where you can generate folk tunes with a recurrent neural network.
Web applications by Toby Harris. Please report any issues here.