Loop Generation

Loop generation in music focuses on creating short, repeatable musical segments using artificial intelligence. Current research emphasizes controllable generation, employing models like diffusion processes, transformers, and variational autoencoders (VAEs) often incorporating prior information (e.g., emotional cues, instrumentation preferences) to guide the process. This work aims to improve the musicality, diversity, and controllability of generated loops, impacting music composition, live performance tools, and potentially broader applications in computer-aided creativity.