Music Generation Model

Music generation models aim to create novel musical pieces using artificial intelligence, focusing on generating high-fidelity audio and aligning outputs with human preferences. Current research emphasizes diverse model architectures, including autoregressive models, diffusion models, and transformers, often incorporating conditioning mechanisms like text, metadata, or even audio input to control various musical aspects such as melody, rhythm, and harmony. This field is significant for its potential to advance music information retrieval, enhance music composition tools, and provide new avenues for artistic expression and creative exploration.