That is certainly more musically interesting from a perspective of what can be achieved with computers, however the translation into electronic music of that te

That is certainly more musically interesting from a perspective of what can be achieved with computers, however the translation into electronic music of that tennis data involved lots of artistical freedom and it needs much more precise information on how that was translated. How else, if not by human interference, could there be some 4/4 techno beat and offbeat hihat. A much better interpretation would take the quite irregular time-based counting structure of tennis 'point'&'advantage' 'game''set' and interpret that as a rythm without the boring techno-bed. The sounds here are also much more fitting, since they are synthetic and adequately mixed. Maybe all the cases of 'music done with some neural-machine-learning presented as awful sounding midi piano renderings' are just there because music seems to be a universally liked phenomenon simply presented as pitch over time and its appealing to research students of this specific field of programming to take this as an anchor for their experiments. As a general tip for these projects: If you take music as a main plot point, then learn some basic music dsp and render your experiment with well behaved sinewaves, or get some daw and put some nice preset sound to it - basically put some minimal effort to the actual musical presentation. Awful music is much more unbearable than awful graphics.