Algorithmic Composition

Algorithmic composition uses computational methods to generate music, aiming to automate or augment the creative process. Current research focuses on interactive systems that allow for fine-grained user control over parameters like rhythm and melody, often employing transformer models and recurrent neural networks. These advancements are improving the quality and diversity of algorithmically generated music, impacting both music creation workflows and the accessibility of music composition for a wider audience. Furthermore, research explores the use of explainable AI to enhance transparency and control in these systems.