Having apparently devoted my life to the preservation and promotion of artificial folk music, I bring you another gem-of-a-machine folk tune I have found by listening to The Endless folk-rnn Traditional Music Session. This one is titled by the network itself, “The Irish Show”:
I don’t know what “show” the machine is referring to, but I want to watch it. This is close to a cracking good tune, despite the slight miscount in bars 8 and 16, and the strange second ending without a first. Let’s correct the miscounts, and remove that second ending altogether. I build my own second endings for the tune and turn, and change that G in bar 11 to F natural because I think this “show” should be a little stranger.
This tune has a different structure from many of the others the model generates: AABCC, where the A and C parts are four measures long, and the B part is 8 measures. The A part sounds to me like a call to the dance floor. The B part is where the main portion of the dance begins. Then the C part reminds me of a hopak… for some reason!
I make some changes this little piece. I repeat the B part twice, and give it two endings to smoothen the transitions. I also flatten the third in bar 11 and play it against a C major. I really like the contrast that gives. Then I give the C part two endings, and make it go crazy.
My partner helped me realise the craziness of the hopak. Thanks Carla!
Machine learning has been making headlines with its sometimes alarming progress in skills previously thought to be the preserve of the human. Now these artificial things are “composing” music. Our event, part concert part talk, aims to demystify machine learning for music. We will describe how we are using state-of-the-art machine learning methods to teach a computer specific musical styles. We will take the audience behind the scenes of such systems, and show how we are using it to enhance human creativity in both music performance and composition. Human musicians will play several works composed by and with such systems. The audience will see how these tools can be used to augment human creativity and not replace it.