Music Generation Task

Music generation is a rapidly advancing field aiming to create high-quality musical pieces using artificial intelligence. Current research focuses on improving controllability and realism, employing various approaches such as diffusion models, transformers, and state-space models, often conditioned on text prompts, reference music, or even images. These advancements are leading to more expressive and stylistically diverse music generation, with applications ranging from assisting musicians in composition to creating personalized soundtracks and interactive musical experiences. The development of new datasets and evaluation metrics is also crucial for driving progress in this area.