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30. Apr. 2020 · We’re introducing Jukebox, a neural net that generates music, including rudimentary singing, as raw audio in a variety of genres and artist styles. We’re releasing the model weights and code, along with a tool to explore the generated samples.
Browse all samples
Jukebox is a code repository for a paper by OpenAI that presents a generative model for music. It includes instructions for sampling, training, and prompting the model with your own music.
Jukebox is a neural network that can create realistic and diverse audio samples from text or image inputs. Explore the samples generated by Jukebox and learn more about the model, the paper and the code.
30. Apr. 2020 · Jukebox is a model that generates music with singing in the raw audio domain using autoregressive Transformers. It can condition on artist, genre and lyrics to steer the musical and vocal style, and generate high-fidelity and diverse songs up to multiple minutes.
- Prafulla Dhariwal, Heewoo Jun, Christine Payne, Jong Wook Kim, Alec Radford, Ilya Sutskever
- 2020
Jukebox is a model that generates music with singing in the raw audio domain using a hierarchical VQ-VAE and autoregressive Transformers. It can produce diverse and coherent songs of various genres, styles, and lyrics, and is released by OpenAI.
24. Apr. 2023 · Jukebox is a neural net that can create music in raw audio form from input like genre, artist, or lyrics. Learn how it works, what it sounds like, and what you can do with it.
