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Impromptune: Symbolic Music Generation With Relative Attention Mechanisms, Connor J. Lennox
Impromptune: Symbolic Music Generation With Relative Attention Mechanisms, Connor J. Lennox
Honors Theses and Capstones
By combining attention-based mechanisms that have proved beneficial in the field of natural language processing with domain-specific knowledge about the structure of music, better predictions about piece continuations can be made. The goal of this work is to adapt current natural language processing techniques to a musical domain, and to generate new music by predicting continuations on a sequence of notes. An adaptation of traditional attention mechanisms to create a single prediction from sequential input is used to extend musical pieces by appending new elements repeatedly.