I missed this talk from Alexandre Dubreuil, when attending Devoxx Belgium 2019, but I had the chance to watch while doing my elliptical bike run, confined at home. It’s about applying Machine Learning to music generation, thanks to the Magenta project, which is based on Tensorflow.

I like playing music (a bit of piano & guitar) once in a while, so as a geek, I’ve also always been interested in computer generated music. And it’s hard to generate music that actually sounds pleasant to the ear! Alexandre explains that it’s hard to encode the rules a computer could follow to play music, but that machine learning is pretty interesting, as it’s able to learn complex functions, thus understanding what does sound good.