MuseNet

MuseNet is a deep neural network developed by OpenAI that generates 4-minute musical compositions using 10 different instruments. It can blend various musical styles, from classical to modern genres, by learning patterns from a vast dataset of MIDI files. The model is based on transformer technology, similar to GPT-2, and predicts the next musical note or token based on previous data. Users can interact with MuseNet in two modes: simple mode for generating random uncurated samples, and advanced mode for creating entirely new pieces by selecting specific composers and instrumentation. While MuseNet excels in musical generation, it has some limitations with odd style pairings. The model uses unique composer and instrumentation tokens to guide its generation process, allowing users to explore different musical styles more effectively.