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 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 Authorship attribution in classical music, but i think this theme is rather explored.

Topic research

Category Data Science

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answered at

Music generation is always good fun, YouTuber Carykh has an interesting take on it using image generation where images are converted to and from MIDI for output and input respectively.

Something I've looked into in the past is taking in a track and separating it into its component instruments.

Additionally, you could do some work in converting sheet music into audio.

These are just a couple random suggestions, but I hope maybe one of them could inspire you to find an idea that you're really into!

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answered at

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.

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