Music Generation Algorithms: An In-Depth Review of Future Directions and Applications Explored

Music generation algorithms have made significant progress in recent years, enabling the development of algorithms to generate creative and realistic music. This survey paper provides a comprehensive overview of music generation algorithms organized by algorithm type. We discuss each algorithm type's strengths, weaknesses, and applications. We also cover multi-level representations for music generation, which allow algorithms to learn complex patterns in music data at different levels of granularity. This survey paper is intended to be a valuable resource for researchers and practitioners in music generation. It provides a comprehensive overview of the current state of the art in music generation algorithms and highlights this research area's challenges and future directions.