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Found 3 papers, 2 papers with code
Pop Music Transformer: Beat-based Modeling and Generation of Expressive Pop Piano Compositions
In contrast with this general approach, this paper shows that Transformers can do even better for music modeling, when we improve the way a musical score is converted into the data fed to a Transformer model.
Pop Music Highlighter: Marking the Emotion Keypoints
In a previous work, we introduced an attention-based convolutional recurrent neural network that uses music emotion classification as a surrogate task for music highlight extraction, for Pop songs.
Generating Music Medleys via Playing Music Puzzle Games
Generating music medleys is about finding an optimal permutation of a given set of music clips.
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