MuseNet is a revolutionary deep neural network developed by OpenAI that allows users to create AI-generated music. This innovative tool can generate 4-minute musical compositions with 10 different instruments, and can seamlessly combine styles ranging from country to Mozart to the Beatles. The technology behind MuseNet is based on unsupervised learning, similar to that of GPT-2, a large-scale transformer model trained to predict the next token in a sequence, whether audio or text. The model is trained on data from MIDI files and can generate samples in a chosen style by starting with a prompt. It employs various embeddings such as positional embeddings, timing embeddings, and structural embeddings to provide the model with more context. With MuseNet, users can effortlessly create original music that is both unique and professional-sounding, without any prior experience in music composition.
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