Actual problems in Data Science/Machine Learning connected with music I'm on my $4^{th}$ year now and searching for a theme for my diploma in mathematics &amp; computer science specialization.
Is there are interesting problems or fields for researches that i can explore? Probably i'd wanted to work in fields connected to art - music reccomendations e.g. (but we have Spotify sure).
I was suggested to take theme &quot;Authorship attribution in classical music&quot;, but i think this theme is rather explored.
You could begin your journey by picking up one of the topics present in the magenta project started by google. It's open-source so you could pick up some great ideas there.
Link to Magenta: https://magenta.tensorflow.org/
Another aspect you could go ahead with is trying to combine to genres of music and produce something new. There are also surveys in recommendation for music. Spend a day getting to know what's there and if you could take up a certain drawback from a paper and go ahead with it!
Finally, if nothing clicks, you could refer to chapter 8 from here: https://arxiv.org/abs/1709.01620
This paper is a survey on deep learning for music generation! The 8th chapter focuses on current problems and future prospects.