Musenet (OpenAI)

OpenAI's MuseNet is a deep neural network that generates 4-minute musical compositions using up to 10 different instruments. It can blend diverse styles—from country to Mozart to the Beatles—by learning patterns of harmony, rhythm, and style from hundreds of thousands of MIDI files. Built on the same unsupervised transformer technology as GPT-2, MuseNet uses the Sparse Transformer architecture (72 layers, 24 attention heads, 4096-token context) to maintain long-term musical structure. Users can generate music in simple mode (pre-curated random samples) or advanced mode (direct model interaction). Composer and instrumentation tokens provide control over style and instrument choices, but instruments are suggestions, not guarantees. MuseNet excels with familiar style/instrument pairings and can struggle with unconventional combinations.