OpenAI today released Jukebox, a machine learning framework that generates music — including rudimentary songs — as raw audio in a range of genres and musical styles.
Provided with a genre, artist, and lyrics as input, Jukebox outputs a new music sample produced from scratch.
Jukebox might not be the most practical application of AI and machine learning, but as OpenAI notes, music generation pushes the boundaries of generative models.
As a result, learning the high-level semantics of music requires models to deal with very long-range dependencies.
With raw audio, Jukebox models learn to handle diversity and long-range structure while mitigating errors in short-, medium-, or long-term timing.

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