Musical Composition Style Transfer via Disentangled Timbre Representations

Understand

Music creation involves not only composing the different parts (e.g., melody, chords) of a musical work but also arranging/selecting the instruments to play the different parts.

• While the former has received increasing attention, the latter has not been much investigated.
• This paper presents, to the best of our knowledge, the first deep learning models for rearranging music of arbitrary genres.
• Specifically, we build encoders and decoders that take a piece of polyphonic musical audio as input and predict as output its musical score.