Algorithmic Songwriting with ALYSIA
This addresses the problem of automating songwriting for music creators, though it appears incremental as it applies an existing method to a new domain.
The paper tackles algorithmic songwriting by introducing ALYSIA, a machine learning model based on Random Forests, which successfully predicts pitch and rhythm and was used to create original pop songs that were recorded and produced.
This paper introduces ALYSIA: Automated LYrical SongwrIting Application. ALYSIA is based on a machine learning model using Random Forests, and we discuss its success at pitch and rhythm prediction. Next, we show how ALYSIA was used to create original pop songs that were subsequently recorded and produced. Finally, we discuss our vision for the future of Automated Songwriting for both co-creative and autonomous systems.